Llama 2: Open Foundation and Fine-Tuned Chat Models
Research paper on papers, architecture.
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Resource list
Research paper on papers, architecture.
Research paper on papers, architecture.
Research paper on papers, agents.
Research paper on papers, agents.
Research paper on papers, prompting.
Research paper on papers, evaluation.
Research paper on papers, rag.
Research paper on papers, architecture.
Research paper on papers, architecture.
Research paper on papers, architecture.
In-depth article on interview questions, career advice.
In-depth article on career advice.
In-depth article on rag, evaluation.
In-depth article on architecture.
In-depth article on architecture.
In-depth article on architecture.
In-depth article on production.
In-depth article on architecture.
In-depth article on architecture.
In-depth article on career advice.
In-depth article on transformers.
In-depth article on api, agents.
In-depth article on transformers, architecture.
In-depth article on embeddings, architecture.
In-depth article on rag, architecture.
Video walkthrough on architecture.
Video walkthrough on transformers.
Video walkthrough on nlp, architecture.
Video walkthrough on architecture.
Video walkthrough on vision, architecture.
Video walkthrough on architecture.
Video walkthrough on architecture.
Video walkthrough on architecture, transformers.
Video walkthrough on api, architecture.
Open-source project for rag, ai tools.
Open-source project for rag, ai tools.
Open-source project for rag, ai tools.
Open-source project for rag, ai tools.
Open-source project for speech.
Open-source project for structured output.
Open-source project for prompting.
Open-source project for production, api.
Open-source project for agents.
Open-source project for agents.
Open-source project for prompting.
Open-source project for rag, evaluation.
Open-source project for evaluation, papers.
Open-source project for evaluation, production.
Open-source project for production, inference.
Open-source project for inference.
Open-source project for production, inference.
Open-source project for rag.
Open-source project for agents.
Open-source project for rag, agents.
Open-source project for agents, architecture.
Step-by-step guide for api, agents.
Step-by-step guide for production, inference.
Step-by-step guide for production, architecture.
Step-by-step guide for api.
Step-by-step guide for architecture.
Step-by-step guide for data.
Step-by-step guide for transformers.
Step-by-step guide for rag, production.
Step-by-step guide for agents, production, architecture.
Step-by-step guide for agents, architecture.
Step-by-step guide for rag, agents, architecture.
Step-by-step guide for rag, ai tools.
Step-by-step guide for rag, production, ai tools.
Step-by-step guide for rag, production, ai tools.
Step-by-step guide for rag, production, ai tools.
Step-by-step guide for prompting, api.
Step-by-step guide for api.
Step-by-step guide for api.
Step-by-step guide for production, architecture.
Step-by-step guide for production, architecture.
Step-by-step guide for production, architecture.
Step-by-step guide for api.
Step-by-step guide for api.
Step-by-step guide for api, ai tools.
Step-by-step guide for api, ai tools.
Structured course covering architecture.
Structured course covering nlp.
Structured course covering architecture.
Structured course covering production, architecture.
Structured course covering transformers.
Structured course covering architecture, nlp.
Structured course covering architecture.
Structured course covering vision.
Structured course covering nlp, architecture.
Structured course covering architecture.
Structured course covering architecture.
Structured course covering architecture.
Structured course covering evaluation, production, mlops.
Structured course covering api, architecture.
Structured course covering fine tuning, production.
Structured course covering production, evaluation, mlops.
Structured course covering career advice.
Structured course covering rag, evaluation, production.
Structured course covering agents, rag.
Structured course covering architecture.
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Complete guide to Stable Diffusion: how it works, prompt engineering, fine-tuning, and running locally.
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OpenAI's technical report on GPT-4: architecture, capabilities, limitations, and safety considerations.
The groundbreaking paper that introduced the Transformer architecture, revolutionizing NLP and AI.
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Official course on prompt engineering by OpenAI and DeepLearning.AI. Learn to build with GPT models effectively.
Comprehensive guide to prompt engineering: techniques, examples, best practices for GPT-4, Claude, and other LLMs.
Graduate-level NLP course covering word vectors, neural networks, attention, transformers, and question answering.
Visual explanation of the Transformer architecture that powers modern LLMs. Clear diagrams and intuitive explanations.
Complete course on NLP using transformers. Covers BERT, GPT, T5, and fine-tuning for various tasks.
The deep learning textbook. Comprehensive coverage of ML basics, deep networks, optimization, CNNs, RNNs, and more.
Step-by-step tutorial building a neural network without frameworks. Understand backpropagation deeply.
Complete guide to GANs: architecture, training process, applications in image generation, and common pitfalls.
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MIT's intensive course on deep learning covering CNNs, RNNs, transformers, GANs, and reinforcement learning.
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MIT's introductory course on AI covering search, knowledge representation, machine learning, and neural networks.
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