...Responsibilities: Train and fine-tune large language models (LLMs) for specific use cases. Implement and optimize Text-to-Speech (TTS) solutions for high-quality output. Collaborate on project requirements and deliverables. Troubleshoot and debug AI/ML-related challenges. Document and present the project outcomes. Requirements: Proven experience in training and fine-tuning LLMs (e.g., GPT, BERT, or similar). Proficiency in using Text-to-Speech APIs like Google TTS, Amazon Polly, or similar. Programming skills in Python, TensorFlow, PyTorch, or equivalent frameworks. Experience with data preprocessing, model evaluation, and deployment. Excellent problem-solving and communication skills. Preferred Skills: Knowledge of NLP techniques and frameworks. Familiarity with ...
...plan y el uso comercial - Conclusión: ChatGPT es una herramienta revolucionaria que demuestra el potencial de la inteligencia artificial para la comunicación y la interacción humanas. Con su capacidad para mantener conversaciones naturales y adaptarse al contexto, ChatGPT ofrece una experiencia de usuario única y valiosa para una amplia gama de aplicaciones y usuarios. - Alternativas: GPT-3 BERT Transformer...
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...---------------------------------------- I need to re-run a published paper work, and precisely, the BKL model using different alpha/gamma parameters as shown in Table#3 in the experiment section (see attached table and paper). The project involves: - Understanding published paper code in github: . Basically, - It's a hybrid of two models: Splade (MLM Bert based retrieval model) and Colbert (HuggingFace ranking model) - already done. - Running the code on a slurm/linux cluster Ideal candidates should have: - Experience in understanding complex LLM code - must - Prior work with the Splade and Colbert models - or any LLM model - Familiarity with slurm clusters - optional I will provide access to the cluster with the code/scripts from a
...document search, similarity detection, and summarization. Key Features: - Document Management: Integration with Seafile for storage, automated text extraction, and metadata tagging. - AI-Driven Search: Semantic search using Sentence-BERT and similarity detection between offers. - Summarization & Insights: Automated summaries and explanations of document similarities. - User-Friendly Interface: A web-based dashboard for project management and insights. Requirements: - Proficiency in Laravel for backend development. - Experience with AI integration (e.g., Sentence-BERT, T5). - Familiarity with databases (MySQL/PostgreSQL) and vector storage (e.g., LanceDB). - Ability to deliver a functional and reliable first version quickly. We aim for fast results to launch a work...
I'm seeking a skilled Python developer with experience in Natural Language Processing (NLP) and Bert to deliver a functional prototype that identifies non-compete clauses in employment contracts. The system should leverage machine learning principles and be able to: - Identify non-compete clauses and the nature of restricted activities. - Provide a summary of all non-compete clauses mentioned in the contract. - Highlight these clauses within the contract for easy reference. - Offer an option to download the extracted summary. The contracts are in PDF format, and the system should recognize all types of restrictions and conditions within the contract, including geographic restrictions, time restrictions, and scope of work restrictions. The prototype should aim for an accuracy ...
...Would you like help identifying specific AI tools or building a roadmap for implementing these features? o Technical Requirements • Frontend: User-friendly and responsive design accessible via web and mobile platforms. • Backend: Scalable architecture using modern programming languages (Python, Node.js, etc.) with efficient database management. • AI/ML Frameworks: Utilize NLP technologies like GPT, BERT, or similar frameworks for text analysis and generation. • Integration: APIs for job board integrations (e.g., LinkedIn, Indeed) to pull job listings. Expected Deliverables 1. A fully functional web-based platform. 2. Comprehensive documentation for both users and administrators. 3. Post-launch support and maintenance for a defined period. Ideal Developer Qual...
...Use official APIs or web scraping techniques to extract relevant data. Clean, organize, and prepare data for processing. 2. Data Analysis: Apply Natural Language Processing (NLP) techniques to identify key themes, sentiments, and relevant keywords. Generate actionable insights on social trends and user behaviors. 3. Creative Content Generation: Utilize advanced AI models (e.g., GPT, BERT) to create viral content ideas tailored to each platform. Develop scenarios for posts and videos aligned with platform-specific dynamics. 4. Automation: Integrate developed solutions into a functional prototype that automatically generates content recommendations. What You Need to Succeed: 1. Advanced Technical Skills: Proficiency in Python and data processing librarie...
I need help troubleshooting and fixing runtime errors in my Python code for text summarization using the BERT transformer model. Ideal skills for this project include: - Proficiency in Python programming - Extensive experience with BERT and text summarization - Strong debugging skills to fix runtime errors - Deep understanding of Natural Language Processing (NLP) techniques - Experience with PyTorch or TensorFlow for model implementation Freelancers with prior experience in working with transformer models and code debugging will be given priority.
I'm seeking a freelancer to help me consolidate and modify some existing GitHub code into a single, error-free Colab file. The project involves creating a fully functional text summarization system using the T5/bert transformer model, with both copying and coverage mechanisms. Key project details include: - Utilizing the CNN/DailyMail dataset for training and testing - Implementing ROUGE and BLEU as evaluation metrics Ideal candidates should have prior experience with transformer models, specifically T5/bert, and be proficient in Python and TensorFlow. Familiarity with the CNN/DailyMail dataset and the evaluation metrics mentioned will be a significant advantage. The goal is a fully operational, cleanly organized codebase that runs smoothly on Google Colab. Ple...
I'm looking for a data scientist who can scrape a review website and apply BERT topic modelling on the reviews. Key Requirements: - Directly scrape reviews from a specified website - Apply BERT topic modelling to these reviews - Communicate findings clearly Skills and Experience: - Proficient in web scraping - Experience with BERT and topic modelling - Ability to analyse and interpret data All reviews are in English. Please provide examples of similar projects you have completed in your proposal.
Olá Est...Modelo de Linguagem: Ajustar um modelo pré-treinado (como GPT ou similar) ao estilo do jornalista. Testes e Validação: Avaliar e refinar a qualidade dos textos gerados. Entrega e Documentação: Implementar o modelo em uma interface simples (API ou ferramenta online) para uso futuro. Tecnologias Preferenciais (não obrigatório): Frameworks: Hugging Face Transformers, PyTorch ou TensorFlow. Modelos: GPT, BERT, ou outros adequados para geração de texto. Estou aberto a sugestões sobre metodologias, ferramentas e melhores práticas para alcançar o resultado desejado. Se você tem experiência em PLN, treinamento de modelos de linguagem ou projetos similares, ficarei feliz em discu...
This project involves developing a BERT-based text classification system to categorize customer complaints into predefined categories (Product ID). Despite successful training, the model currently achieves zero accuracy due to issues in the dataset or training pipeline. The goal is to debug the existing pipeline, address dataset problems, and improve model performance. • Analyze why the training script is resulting in zero accuracy. • Debug model initialization and weights setup. • Fine-tune the training script for better learning. • Acceptance Criteria: 1. Ensure the model starts learning, as evidenced by decreasing loss during training. 2. Improve training metrics (accuracy, precision, recall, F1-score) to acceptable levels. • Tasks: 1. Verify data...
...Google Play Store, Apple App Store, and review websites. - Include metadata like review content, ratings, user location, and timestamp to filter reviews country-wise. Analysis Goals: 1. User Sentiment Analysis: - Classify reviews into positive, negative, and neutral categories using NLP techniques. - Utilize sentiment analysis algorithms such as VADER, TextBlob, or advanced models like BERT for precise classification. 2. Key Factors Influencing Sentiments: - Apply Latent Dirichlet Allocation (LDA) for topic modeling to uncover recurring themes in user feedback. - Use LDA to identify latent topics across reviews that indicate drivers of user satisfaction or dissatisfaction. - Employ TF-IDF and word cloud visualizations to highlight frequent keywords and ...
...Extraction & Model Comparison The primary focus is on using the AnnoCTR dataset to fine-tune NLP models (e.g., BERT) for named entity recognition (NER) tasks and conducting a comparative analysis of different model performances. I am seeking an experienced freelancer to assist with: Dataset Handling: Preparing and processing the AnnoCTR dataset for model training and evaluation. Model Fine-Tuning: Fine-tuning pre-trained NLP models like BERT, GPT, and others for NER tasks. Model Comparison: Conducting experiments to compare the performance of fine-tuned models using metrics such as Precision, Recall, and F1-Score. Requirements: Expertise in NLP and pre-trained models (e.g., BERT, Hugging Face Transformers). Experience with fine-tuning models for named entit...
...Extraction & Model Comparison The primary focus is on using the AnnoCTR dataset to fine-tune NLP models (e.g., BERT) for named entity recognition (NER) tasks and conducting a comparative analysis of different model performances. I am seeking an experienced freelancer to assist with: Dataset Handling: Preparing and processing the AnnoCTR dataset for model training and evaluation. Model Fine-Tuning: Fine-tuning pre-trained NLP models like BERT, GPT, and others for NER tasks. Model Comparison: Conducting experiments to compare the performance of fine-tuned models using metrics such as Precision, Recall, and F1-Score. Requirements: Expertise in NLP and pre-trained models (e.g., BERT, Hugging Face Transformers). Experience with fine-tuning models for named entit...
Role Overview: We are seeking a highly skilled AI/NLP Specialist to design, develop, and implement advanced AI models and NLP workflows. The ideal candidate will leverage cutting-edge techniques such as Retrieval-Augmented Generation (RAG) to extract, analyze, and interpret insights from structured and unstruct...and relevance. Data Automation: Build AI-driven solutions to automate the analysis of unstructured data, including extracting critical data points from filings, reports, and commentaries. Integration and Collaboration: Work closely with DAQ/DAP teams to integrate NLP pipelines into broader data workflows for seamless processing. Model Fine-Tuning: Fine-tune and adapt LLMs (e.g., GPT, BERT) for specific use cases, ensuring compliance with industry and organizatio...
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... 3. User Interface (UI): An intuitive UI displaying results for users, including the cleanliness score and detailed analysis. 4. Documentation and Testing: Full documentation of the model, database, and UI, along with testing to ensure accuracy and functionality. Technical Requirements: 1. Machine Learning & NLP: • Develop a custom NLP model (or fine-tune an existing transformer model like BERT) to process and classify ingredients based on defined cleanliness criteria. • Implement Named Entity Recognition (NER) to identify and normalize ingredient names. • Use language processing to handle variations in ingredient naming and match them accurately to the database. 2. Database Structure: • Build or integrate an ingredient database with key attribut...
...across Chrome, Safari, and Firefox to guarantee consistency, reliability, and compliance with each browser’s security standards and permissions for accessing clipboard data. 3. Backend Development and Similarity Algorithm Similarity Algorithm Development: Design and implement a matching algorithm leveraging NLP methods, including word embeddings, cosine similarity, and transformer-based models (e.g., BERT, RoBERTa). This algorithm should accurately identify candidates based on key criteria such as skills, experience, location, and relevance. Establish a scoring system to rank matched candidates on various factors such as skill alignment, experience levels, and geographic preference. Job Description and Resume Data Processing: Standardize job description and resume data by e...
...tableaux de bord personnalisés, éditeurs de CV, et générateurs de lettres. Backend : Technologies : Node.js ou Python (Flask/Django) pour les API REST. Microservices : Séparation des services pour la gestion des utilisateurs, l’analyse des données, les recommandations, et la personnalisation des documents. Intelligence Artificielle : NLP (Traitement du Langage Naturel) : Utilisation de modèles comme BERT ou GPT pour analyser et comprendre les descriptions de poste et les CVs. Recommandation : Algorithmes de machine learning supervisé et non supervisé pour le matching entre offres et profils. Personnalisation : Modèles génératifs pour créer des lettres de motivation personnalis&eacu...
I'm in need of a professional who can develop an AI-driven sentimen...This will involve scraping customer reviews from specified websites for analysis. - Data Preprocessing: The selected freelancer will be tasked with cleaning and preparing the text data for analysis. This includes removing special characters, stop words, and tokenization. - Model Building: Implementing machine learning algorithms (like Logistic Regression, SVM) or deep learning models (like LSTM or BERT) to train the sentiment classifier. - Model Evaluation: The model's accuracy, precision, recall, and F1 score will need to be evaluated to ensure its effectiveness. - User Interface: Optionally, a simple command-line or web-based interface should be created to allow users to input text and get sentiment an...
We need a developer to build a PDF-based chatbot that can answer questions by reading and processing PDF documents. The system will use Lucene for indexing and ONNX for question-answering via a BERT model. It should support loading PDFs, training on the content, and maintaining a conversational flow with the user. The system should also track and display metadata such as file name, page number, and response time. Experience with .NET (WPF), ONNX models, and PDF processing is required.
...listings and CVs to extract relevant data and match. Personalized recommendations and notifications for both parties. Automatic generation of tailored CVs and cover letters. Security features to ensure data privacy. Technical Requirements: Frontend: React.js for web, React Native for mobile. Backend: Node.js or Python (Flask/Django) for REST APIs. AI: Natural Language Processing (NLP) models like BERT or GPT for analyzing and generating text. Databases: PostgreSQL for structured data, MongoDB for unstructured data. Cloud deployment on AWS or Azure, using Docker and Kubernetes for scalability. Project Timeline: 3 days I am looking for someone experienced in AI integration, web and mobile app development, and cloud-based deployment. If you're interested, please provide examp...
I'm seeking an expert in natural language processing (NLP) using Python for a text classification project. The primary task involves classifying cu...natural language processing (NLP) using Python for a text classification project. The primary task involves classifying customer reviews. Key Responsibilities: - Develop a Python-based NLP model to classify customer reviews based on a specific hypothesis. - Deliver the project quickly without compromising on quality. Ideal Skills: - Proficiency in Python and NLP. - Experience with models like BERT, XLNet. - Ability to deliver projects promptly. Please note, I do not have labeled data for training the models, so part of your role will involve developing an effective strategy for dealing with this. Your expertise in this area is...
...listings and CVs to extract relevant data and match. Personalized recommendations and notifications for both parties. Automatic generation of tailored CVs and cover letters. Security features to ensure data privacy. Technical Requirements: Frontend: React.js for web, React Native for mobile. Backend: Node.js or Python (Flask/Django) for REST APIs. AI: Natural Language Processing (NLP) models like BERT or GPT for analyzing and generating text. Databases: PostgreSQL for structured data, MongoDB for unstructured data. Cloud deployment on AWS or Azure, using Docker and Kubernetes for scalability. Project Timeline: 5 days I am looking for someone experienced in AI integration, web and mobile app development, and cloud-based deployment. If you're interested, please provide exam...
...effectively with both technical and non-technical stakeholders. Client Engagement: Experience in managing client relationships, understanding business needs, and delivering high-quality pre-sales support. Excellent communication and presentation skills as this is a client facing role. Preferred Skills: Good to have experience with specific Generative AI platforms or tools (e.g., GPT, BERT, etc.). Good to have familiarity with enterprise software solutions and cloud computing environments. Strong analytical and problem-solving skills, with a proactive and client-focused approach. Location: Preferably in Detroit, Michigan, but open to other locations on the West Coast (USA). Remote work is available, but occasional travel may be required. Education: ...
I'm seeking an expert to create a dedicated language model that can uploa...the text: • Split the text into words or subwords3. • Consider using a library like NLTK for tokenization5. 3 Remove stop words and perform stemming or lemmatization: • Eliminate common words with little semantic value4. • Reduce words to their root forms for better analysis4. -> Creating a Dedicated Language Model 1 Choose a model architecture: • For your purpose, a smaller version of GPT-2 or BERT might be suitable. 2 Prepare your dataset: • Combine all preprocessed text from your management books. • Split the data into training and validation sets3. 3 Train the model: • Use a machine learning framework like PyTorch or TensorFlow. • Fine-tune a pre-train...
...improve its accuracy over time. Deliverables: - A working hate-speech detection model (pre-trained or built from scratch using NLP models like BERT, RoBERTa, etc.). - Integration of a feedback mechanism that stores flagged data in a database (preferably in a simple format like SQLite). - Instructions and support for retraining the model with custom data. - Deployment support (e.g., on Heroku or AWS). Skills Required: - Experience in NLP (Natural Language Processing) and text classification models. - Familiarity with transfer learning (preferred frameworks: Hugging Face, TensorFlow, or PyTorch). - Experience in building or fine-tuning models using BERT, RoBERTa, GPT. - Ability to integrate backend (Flask, Node.js) for the feedback mechanism and store user feedback. - Know...
I'm seeking a Python developer skilled in BERT and GPT APIs for a sentiment analysis project. The primary focus will be analyzing customer reviews to derive insights. The data is currently stored in CSV files. Ideal Skills and Experience: - Proficient in Python programming - Extensive experience with BERT and GPT APIs - Strong background in sentiment analysis - Familiarity with handling and processing CSV files - Knowledge of data visualization to present findings
...utilize an open-source AI model like Legal-BERT, and will consider options for monetization through subscription-based or pay-per-use pricing models. Key Features: - Web Interface: The platform should be accessible and user-friendly on both desktop and mobile devices. - Contract Review Focus: The primary service offered will be contract review, so the platform should be equipped to handle this task efficiently and effectively. - Detailed Contract Analysis: The contract review service should not only provide a basic summary and key points but also include suggestions for improvements and corrections. Ideal Skills and Experience: - Proficiency in developing web and mobile interfaces. - Experience with AI model integration, particularly with Legal-BERT or similar. - Backgr...
I'm encountering a problem with my BERT text classification model - it is not training properly. I suspect the issue lies within the model architecture. Additionally, I'm dealing with incorrect labels during my data preprocessing steps. Your task will involve: - Diagnosing the problem with the model architecture - Fixing the training process to ensure the model can learn effectively - Assisting with the handling of incorrect labels I need this done asap, its extremely time sensitive. Hence the budget is quite high
...diseño de experiencia de usuario (UX/UI). - Conocimiento de estándares de seguridad de datos, especialmente para el manejo de información sensible. Tecnologías preferidas (no excluyentes): - MySQL, PostgreSQL o similar para la base de datos. - Frameworks como Django, Ruby on Rails o Laravel. - Frontend: React, Angular, o Vue.js. - Integración con APIs de inteligencia artificial (por ejemplo, GPT, BERT). - Experiencia en plataformas de LegalTech será un plus. Entregables esperados: - Plataforma funcional con todos los módulos integrados. - Documentación técnica completa. - Soporte y mantenimiento inicial post-lanzamiento. - Manual de usuario para la gestión interna. Plazo del proyecto: Plazo estimado de 3-6 m...
...experiences and recommendations 5. Continuous personalization: App learns from user interactions to refine future suggestions 6. Intuitive UI with bottom navigation for easy access to app sections Technical Requirements: - Mobile-first responsive design - Frontend framework of your choice (e.g., React Native, Flutter) - Integration with a sophisticated NLP model for processing user prompts (e.g., GPT-3, BERT) - AI recommendation system capable of generating context-aware travel suggestions - Smooth animations and transitions for a polished user experience Key AI/NLP Capabilities: - Natural language understanding to interpret user travel preferences and constraints - Context-aware suggestion generation, considering factors like budget, duration, interests, and past travel histor...
...learning and explainable AI, specifically for malware detection. This project focuses on the application and implementation of advanced ML algorithms, primarily BERT and Random Forest, to classify malware via API call sequences. Key Responsibilities: - Utilizing both Shapley values and LIME for achieving transparency and building trust in the model. - Initial implementation of a malware detection model using BERT and Random Forest. - Employing advanced ML techniques, including SVM, CatBoost, LightGBM, and LSTM, as necessary. Ideal Skills and Experience: - Extensive experience in machine learning and AI, with particular emphasis on BERT and Random Forest. - Proficient in the use of Shapley values and LIME for model explainability. - Prior experience in malware det...
I'm seeking a data scientist with extensive experience in training LLM/ML models using pre-trained models, based BERT. You should be proficient in DeepSpeed and HuggingFace, as these will be crucial in building a Python 3.x, Flask inference engine. The primary goal of this engine is to enhance prediction accuracy when processing text data. Key Responsibilities: - Train and fine-tune the BERT model using DeepSpeed and HuggingFace. - Develop a Python 3.x, Flask-based inference engine. Ideal Skills and Experience: - Proven experience in data science, specifically with LLM/ML models. - Proficient in using DeepSpeed and HuggingFace. - Strong programming skills in Python 3.x. - Experience in developing with Flask. - Previous work with BERTbased models is highly desirable. -...
I'm in need of a professional who can assist me in classifying sentiments from social media posts using a pre-trained BERT model. Key Requirements: - Proficiency in Python and familiarity with BERT and NLP libraries. - Prior experience with sentiment analysis, specifically on social media data. - Ability to preprocess, clean and handle large datasets. The ideal candidate should understand the nuances of social media language and be able to utilize the BERT model to classify sentiments accurately effectively. Please provide examples of similar projects you've completed in your proposal.
I am in need of an intermediate level BERT model expert to assist with analyzing textual data from financial reports. To run in Python, I would like to know how BERT is included in the code to run textual similarity from an ESG report.
<|endoftext|> I'm looking for a skilled data scientist with experience in Python, PyTorch, and huggingface to help me extract the training code for a BERT model from a GitHub repository and simplify it in 1-2 Google Colab notebooks. Key Requirements: - Extract and simplify the training code of a BERT model from the given GitHub repository. - The simplified code should cover key functionalities such as data preprocessing, model training, and model evaluation. Ideal Skills and Experience: - Proficiency in Python, particularly in working with PyTorch/HuggingFace - Strong background in NLP and working with BERT models. - Experience with huggingface and understanding of transformer-based models. - Ability to simplify complex code, making it more readable and u...
I'm seeking a professional who can develop a unique model architecture for automatic chest X-ray report generation using BERT. The focus of this project will be on the implementation of novel techniques, specifically in the realm of model architecture. Key Responsibilities: - Design and implement a new model architecture for report generation from chest X-rays. - Use BERT as the primary transformer model for this task. - Generate accurate radiology reports. - Achieve high BLEU and Chexbert F1 scores. Ideal Skills: - Extensive experience in machine learning and model architecture design. - Proven expertise with BERT and other transformer models. - Familiarity with radiology report generation. - Strong track record of achieving high evaluation metrics scores. Thi...
...maintain the positional integrity needed for effective model training. - **Consistent Tokenization:** Each word should be consistently tokenized into five tokens: [first three characters of the first sub-word, next two characters of the first sub-word, second sub-word, third sub-word, fourth sub-word]. 2. **Model Training:** - **Sequence-to-Sequence Prediction:** Use Huggingface's transformers (BERT and Llama) for training models to predict the next sequence of machine states. - **Sequence Classification:** Fine-tune the model for sequence classification to identify specific patterns or anomalies in the machine states using the class codes. - **Solution:** - Use a classification head on top of the transformer model to predict classes or anomalies in se...
ML and LLM for SQL injection Attack Detection 1. - implement and finetune a BERT model for SQL injection attack detection. This will not be integrated into the webappz it is just for report and analysis purposes 2. - implement and finetune one more model for SQL injection attack detection. This will not be integrated into the webappz it is just for report and analysis purposes 3. - finetuning of gpt-4 model to detect injection attackss and integrate with the web app. The accuracy level, and other metrics will be
ML and LLM for SQL injection Attack Detection 1. - implement and finetune a BERT model for SQL injection attack detection. This will not be integrated into the webappz it is just for report and analysis purposes 2. - implement and finetune one more model for SQL injection attack detection. This will not be integrated into the webappz it is just for report and analysis purposes 3. - finetuning of gpt-4 model to detect injection attackss and integrate with the web app. The accuracy level, and other metrics will be
...generated lyrics are coherent, contextually relevant, and creative. • The generator should be capable of producing lyrics in various genres and styles as specified by the user. • Implement necessary pre-processing and post-processing steps to enhance the quality of the generated lyrics. Skills Required: • Proficiency in NLP and machine learning. • Experience with language models such as GPT, BERT, etc. • Strong understanding of both Arabic and English languages. • Experience with frameworks such as TensorFlow or PyTorch. • Ability to create an intuitive and user-friendly interface. • Attention to detail and creativity in generating lyrics. Deliverables: • A fully functional lyrics generator that works for both Arabic and...
I'm looking for an experienced AI developer with a strong background in NLP. You'll be required to: - Work w...as the specifics will be shared during the project (despite me skipping my first question, it is crucial for you to have extensive experience in Chatbot development, Sentiment analysis and Text summarization). - Proficiency in Python and NLP Libraries is necessary. Your Python skills will be put to test to solve complex AI problems. - Familiarity with the NLP libraries or tools: NLTK, Spacy, and BERT is mandatory. These will be our primary tools for text processing and training our models. If you possess the above skills and love to innovate in the field of AI, you might be the right person for the job. Knowledge with up-to-date industry trends in NLP will be po...
...to develop a model predicting YouTube video success using multimodal AI. The project involves analyzing video content, audio, and textual data (titles, descriptions, comments). Responsibilities: - Research existing literature on multimodal AI and video popularity prediction. - Design and implement a multimodal AI model integrating visual, audio, and textual data. - Use techniques such as CLIP, BERT, and frameworks like TensorFlow or PyTorch. - Perform data preprocessing and feature extraction from YouTube metadata. - Train and evaluate the model using relevant datasets. - Document the methodology, experiments, and results. Deliverables: - A functional multimodal AI model for predicting YouTube video success. - A detailed report on methodology, and results. - Source code and d...
I have a Github project that needs to be ...encountering SyntaxErrors and need them resolved. The project is built with Python libraries(Numpy Pandas Matplotlib Mplfinance Seaborn Plotly SciPy Statsmodels Scikit-learn Keras TensorFlow Yfinance Beautiful Soup Selenium NLTK TextBlob SpaCy Gensim BERT Hugging Face PyTorch), and involves BERT for a sentiment analysis task. Key tasks include: - Deploying the project on Azure - Fixing SyntaxErrors during deployment - Ensuring the BERT-based sentiment analysis system is functional Ideal Freelancer: - Proficient in Python - Experience with BERT or similar deep learning frameworks - Azure deployment experience Please bid on this project if you're confident in your ability to handle these tasks
I'm looking for an advanced PyTorch and Large Language Model one-on-one tutor. Specifically, I'm interested in understanding the pre-training code of existing BERT models (and secondarily, other transformers-based models) and implementing them on my own data. - **Large Language Models and NLP**: I'm particularly interested in pre-training models from scratch, using Megatron-LM or similar and applying them to domain specific data, which will require adjusting the code to fit it. Your experience in this field is crucial. - **PyTorch Expertise**: My ideal tutor will have advanced proficiency in PyTorch. I'm looking to elevate my skills, so you should be able to explain complex concepts clearly and provide insights into best practices. - **One-on-One Tutoring**: I...
...not already been guessed. If there are no remaining words that match then it will default back to the character frequency distribution of the entire dictionary. This benchmark strategy is successful approximately 18% of the time. Your task is to design an algorithm that significantly outperforms this benchmark." I'm on the lookout for a ML Engineer to build a Hangman game. - Need to use LSTM or BERT or other ML Modeling techniques - Accuracy needs to be more than 75% - No UI, backend is required. Just simple algorithm using ML. - Written explanation of the code An ideal candidate will have a wealth of experience in ML, preferably with knowledge in Model building using State of the art techniques. Will share complete details post discussion....
