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awesome-ai-engineering-reads

Essential reads for every AI engineer interested in building AI apps.
https://github.com/aipengineer/awesome-ai-engineering-reads

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LLM Research and Publications
- A Survey of Large Language Models
- Language Models are Unsupervised Multitask Learners
- Challenges and Applications of Large Language Models
- Large Language Models as Optimizers
- Multimodal Foundation Models: From Specialists to General-Purpose Assistants
- Scaling Laws for Neural Language Models
- Language Models are Unsupervised Multitask Learners
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
- Training language models to follow instructions with human feedback
- Multimodal Foundation Models: From Specialists to General-Purpose Assistants
LLM plus Retrieval
- Harnessing Retrieval Augmented Generation With Langchain
- Harnessing Retrieval Augmented Generation With Langchain
- Harnessing Retrieval Augmented Generation With Langchain
- Harnessing Retrieval Augmented Generation With Langchain
- Harnessing Retrieval Augmented Generation With Langchain
- TWIML-RAG - a TWIML generative_ai community project.
- Harnessing Retrieval Augmented Generation With Langchain
- Harnessing Retrieval Augmented Generation With Langchain
- Harnessing Retrieval Augmented Generation With Langchain
- Harnessing Retrieval Augmented Generation With Langchain
- Making Retrieval Augmented Generation Better with @jamesbriggs
- Harnessing Retrieval Augmented Generation With Langchain
- Knowledge Retrieval Architecture for LLM’s (2023)
- How do domain-specific chatbots work? An Overview of Retrieval Augmented Generation (RAG)
- LangChain "Advanced Retrieval" Webinar
- Harnessing Retrieval Augmented Generation With Langchain
- Harnessing Retrieval Augmented Generation With Langchain
- Harnessing Retrieval Augmented Generation With Langchain
- Harnessing Retrieval Augmented Generation With Langchain
- Harnessing Retrieval Augmented Generation With Langchain
- Harnessing Retrieval Augmented Generation With Langchain
- Harnessing Retrieval Augmented Generation With Langchain
- Harnessing Retrieval Augmented Generation With Langchain
- Harnessing Retrieval Augmented Generation With Langchain
- Harnessing Retrieval Augmented Generation With Langchain
- Harnessing Retrieval Augmented Generation With Langchain
- Harnessing Retrieval Augmented Generation With Langchain
- Harnessing Retrieval Augmented Generation With Langchain
- Harnessing Retrieval Augmented Generation With Langchain
- Harnessing Retrieval Augmented Generation With Langchain
- Harnessing Retrieval Augmented Generation With Langchain
- Harnessing Retrieval Augmented Generation With Langchain
- Harnessing Retrieval Augmented Generation With Langchain
- Harnessing Retrieval Augmented Generation With Langchain
- Harnessing Retrieval Augmented Generation With Langchain
- Harnessing Retrieval Augmented Generation With Langchain
- Harnessing Retrieval Augmented Generation With Langchain
LLM Engineering Best Practices
- What Is ChatGPT Doing ... and Why Does It Work?
- Building Defensible Products with LLMs
- What Is ChatGPT Doing ... and Why Does It Work?
- Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges
- All the Hard Stuff Nobody Talks About when Building Products with LLMs
LLM Retriever Models
- MultiVector Retriever
- Fine-Tuning LLaMA for Multi-Stage Text Retrieval
- Vector Databases and Large Language Models
- Fine-Tuning LLaMA for Multi-Stage Text Retrieval
- MultiVector Retriever
Open LLM Models
- BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
- BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
- LLaMA: Open and Efficient Foundation Language Models
- LLaMA: Open and Efficient Foundation Language Models
LLM Applications
- Automatic Generation of Visualizations and Infographics with LLMs
- Human-centric & Coherent Whole Program Synthesis aka your own personal junior developer
- Introducing AudioCraft: A Generative AI Tool For Audio and Music
- An example of LLM prompting for programming
LLM Evaluation
- Holistic Evaluation of Language Models
- chatgpt-evaluation-01-2023
- Evaluating chatGPT
- PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts
- PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts
LLM Embeddings
- One Embedder, Any Task: Instruction-Finetuned Text Embeddings
- FlagEmbedding
- OpenAI GPT-3 Text Embeddings - Really a new state-of-the-art in dense text embeddings?
- Getting creative with embeddings
- What are embeddings?
LLM Inference
- Easy-to-use headless React Hooks to run LLMs in the browser with WebGPU. As simple as useLLM().
- Inference Experiments with LLaMA v2 7b
- OpenAI's Code Interpreter in your terminal, running locally
LLM Data
- Data Copilot
- Want High Performing LLMs? Hint: It is All About Your Data
- How LlamaIndex Can Bring the Power of LLM's to Your Data
- How to Create Custom Datasets To Train Llama-2
LLM Observability
- AI Observability & Evaluation - Evaluate, troubleshoot, and fine tune your LLM, CV, and NLP models in a notebook.
LLM Tutorials and Courses
- Artificial Intelligence for Beginners - A Curriculum
- How Business Thinkers Can Start Building AI Plugins With Semantic Kernel
- LLM Bootcamp - Spring 2023
- Generative AI for Beginners - A Course
- Introduction to Deep Learning
- Finetuning Large Language Models
- Large Language Models with Semantic Search
LLM Numbers
- Numbers every LLM Developer should know
LLM Ethics and Governance
- A guidance language for controlling large language models.
- Constitutional AI: Harmlessness from AI Feedback
Uncategorized
- Universal Language Model Fine-tuning for Text Classification
- Universal Language Model Fine-tuning for Text Classification
Open LLM Tools
- fairseq2
- seamless_communication
- LangChain cookbook
- Langchain Tutorials
- LangChain: Enabling LLMs to Use Tools
Building and Deploying LLMs
- Scaling Kubernetes to 7,500 nodes
- Building LLM applications for production
- Efficiently Scaling and Deploying LLMs
- LLMs in Production - Part III
Training and Fine-tuning LLMs
- How to train your own Large Language Models
- Training Compute-Optimal Large Language Models
- Opt-175B Logbook
- Fine-Tuning LLMs: Best Practices and When to Go Small
- GPT-3.5 Turbo fine-tuning and API updates
- Fine-tuning in Your Voice Webinar
- Fine-Tuning LLMs: Best Practices and When to Go Small
LLM Architectures and Models
- Introducing Code Llama, a state-of-the-art large language model for coding
- Spread Your Wings: Falcon 180B is here
LLM Prompting
- Prompt Engineering
- "Prompt injection explained, with video, slides, and a transcript"
- Delimiters won’t save you from prompt injection
- You probably don't know how to do Prompt Engineering
- ChatGPT Prompt Engineering for Developers
- ChatGPT Prompt Engineering for Developers
Evaluating LLM plus Retrieval
- Evaluation & Hallucination Detection for Abstractive Summaries
- Building And Troubleshooting An Advanced LLM Query Engine
- Advanced RAG 02 - Parent Document Retriever
LLM Opinions and Critiques
- Why Chatbots Are Not the Future
LLM Engineering
- Reflections on AI Engineer Summit 2023
- AI Engineer Summit - Building Blocks for LLM Systems & Products
Self-Hosted LLMs
- Why host your own LLM?
- How is LLaMa.cpp possible?
- Discover, download, and run local LLMs
LLM Deployment
- Deploying AI-driven apps on Vercel
- Solving the Last Mile Problem of Foundation Models with Data-Centric AI
- Taking LangChain Apps to Production with LangChain-serve
LLM Marketing
- Your Success with Generative AI May Come Down to These UX Decisions
LLM Infrastructure
- Age of Industrialized AI
- DevTools for Large Language Models: Unlocking the Future of AI-Driven Applications
- Large Language Model at Scale
LLM Events
- "AI Agents Hackathon Develop your own AI agent within 48 hours!"
LLM Hype
- Anti-hype LLM reading list
- ChatGPT Resources
LLM Newsletters
- ✨ Flashier Attention, 🤐 Gzip Classifiers
LLM Startups and Funding
- The AI Startup Litmus Test
- Generative AI Strategy
- Lessons from 139 YC AI startups (S23)
LLM Business
- Takeaways & lessons from 250k+ LLM calls on 100k corporate docs

Programming Languages

Jupyter Notebook 8 Python 4 TypeScript 2

Categories

LLM plus Retrieval 37 LLM Research and Publications 10 Training and Fine-tuning LLMs 7 LLM Tutorials and Courses 7 LLM Prompting 6 LLM Engineering Best Practices 5 LLM Evaluation 5 LLM Retriever Models 5 LLM Embeddings 5 Open LLM Tools 5 LLM Data 4 LLM Applications 4 Open LLM Models 4 Building and Deploying LLMs 4 LLM Deployment 3 Self-Hosted LLMs 3 Evaluating LLM plus Retrieval 3 LLM Inference 3 LLM Infrastructure 3 LLM Startups and Funding 3 LLM Ethics and Governance 2 LLM Hype 2 LLM Architectures and Models 2 Uncategorized 2 LLM Engineering 2 LLM Observability 1 LLM Numbers 1 LLM Business 1 LLM Events 1 LLM Opinions and Critiques 1 LLM Marketing 1 LLM Newsletters 1

Sub Categories

Keywords

llm 2 machine-learning 2 deep-learning 2 artificial-intelligence 2 backend 1 webgpu 1 react 1 headless 1 text-semantic-similarity 1 text-reranking 1 text-evaluation 1 text-embedding 1 text-clustering 1 text-classification 1 prompt-retrieval 1 language-model 1 information-retrieval 1 embeddings 1 visualization 1 palm2 1 openai-api 1 openai 1 datavisualization 1 cohere 1 pytorch 1 python 1 rnn 1 nlp 1 gan 1 computer-vision 1 cnn 1 ai 1 model-observability 1 mlops 1 ml-observability 1 llmops 1 llm-eval 1 datasets 1 aiengineering 1 ai-roi 1 ai-observability 1 ai-monitoring 1 platform 1 frontend 1 datascience 1 chatgpt 1