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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
- Scaling Kubernetes to 7,500 nodes
- All the Hard Stuff Nobody Talks About when Building Products with LLMs
- All the Hard Stuff Nobody Talks About when Building Products with LLMs
- Building LLM applications for production
- Efficiently Scaling and Deploying LLMs
- LLMs in Production - Part III
- 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
- Finetuning Large Language Models
- GPT-3.5 Turbo fine-tuning and API updates
- Fine-tuning in Your Voice Webinar
- A Survey of Large Language Models
- LLaMA: Open and Efficient Foundation Language Models
- Introducing Code Llama, a state-of-the-art large language model for coding
- Spread Your Wings: Falcon 180B is here
- BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
- LangChain: Enabling LLMs to Use Tools
- Langchain Tutorials
- LangChain cookbook
- fairseq2
- seamless_communication
- Automatic Generation of Visualizations and Infographics with LLMs
- Introducing AudioCraft: A Generative AI Tool For Audio and Music
- An example of LLM prompting for programming
- Human-centric & Coherent Whole Program Synthesis aka your own personal junior developer
- GPT Engineer
- Holistic Evaluation of Language Models
- chatgpt-evaluation-01-2023
- Evaluating chatGPT
- PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts
- 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
- Learn Prompting
- A Survey of Large Language Models
- 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
- FlagEmbedding
- One Embedder, Any Task: Instruction-Finetuned Text Embeddings
- OpenAI GPT-3 Text Embeddings - Really a new state-of-the-art in dense text embeddings?
- Getting creative with embeddings
- What are embeddings?
- Vector Databases and Large Language Models
- Large Language Models with Semantic Search
- MultiVector Retriever
- Fine-Tuning LLaMA for Multi-Stage Text Retrieval
- 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
- TWIML-RAG - a TWIML generative_ai community project.
- Evaluation & Hallucination Detection for Abstractive Summaries
- Building And Troubleshooting An Advanced LLM Query Engine
- Advanced RAG 02 - Parent Document Retriever
- 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
- Discover, download, and run local LLMs
- 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
- Data Copilot
- AI Observability & Evaluation - Evaluate, troubleshoot, and fine tune your LLM, CV, and NLP models in a notebook.
- Why Chatbots Are Not the Future
- Finetuning Large Language Models
- Large Language Models with Semantic Search
- How Business Thinkers Can Start Building AI Plugins With Semantic Kernel
- LLM Bootcamp - Spring 2023
- LLM Bootcamp - Spring 2023
- Generative AI for Beginners - A Course
- Artificial Intelligence for Beginners - A Curriculum
- Introduction to Deep Learning
- Reflections on AI Engineer Summit 2023
- AI Engineer Summit - Building Blocks for LLM Systems & Products
- All the Hard Stuff Nobody Talks About when Building Products with LLMs
- Building Defensible Products with LLMs
- What Is ChatGPT Doing ... and Why Does It Work?
- Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges
- LLaMA: Open and Efficient Foundation Language Models
- BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
- LangChain: Enabling LLMs to Use Tools
- Langchain Tutorials
- LangChain cookbook
- fairseq2
- seamless_communication
- Why host your own LLM?
- How is LLaMa.cpp possible?
- Discover, download, and run local LLMs
- 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
- Age of Industrialized AI
- DevTools for Large Language Models: Unlocking the Future of AI-Driven Applications
- Large Language Model at Scale
- "AI Agents Hackathon Develop your own AI agent within 48 hours!"
- Numbers every LLM Developer should know
- Anti-hype LLM reading list
- ChatGPT Resources
- ✨ Flashier Attention, 🤐 Gzip Classifiers
- Constitutional AI: Harmlessness from AI Feedback
- A guidance language for controlling large language models.
- The AI Startup Litmus Test
- Generative AI Strategy
- Lessons from 139 YC AI startups (S23)
- 2023: The State of Generative AI in the Enterprise
- Takeaways & lessons from 250k+ LLM calls on 100k corporate docs
- Your Success with Generative AI May Come Down to These UX Decisions
- Universal Language Model Fine-tuning for Text Classification
Programming Languages
Keywords
llm
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
pytorch
1
python
1
machine-learning
1
deep-learning
1
artificial-intelligence
1
umap
1
model-observability
1
model-monitoring
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mlops
1
ml-observability
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ml-monitoring
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llmops
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llm-eval
1
clustering
1
ai-roi
1
ai-observability
1
ai-monitoring
1
platform
1
frontend
1
datascience
1
chatgpt
1
cohere
1