Repository contains LinkedIn posts about Generative AI knowledge sharing, learning resources and research explanations. Although the repository currently contains only my posts, but it doesn't necessarily have to. Please raise PR to add relevant high-quality linkedin post from other people too.
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- How to evaluate planning capabilities of LLM?
- Few applied research directions to ensure low latency for LLMs
- How does deep learning frameworks like TensorFlow work?
- Difference between thinking pattern of Early career ML engineer vs Experienced ML engineer
- Designing ChatGPT like AI assistant from scratch - ML system design
- Different ways of prompting an LLM
- How to transition to AI/ML from any field?
- My experience & Learnings as ML Engineer at TikTok
- How to give memory to your AI assistant just like ChatGPT?
- Different variants of LoRA finetuning
- Popular evaluation metrics for LLMs
- Different strategies to implement Retrieval Augmented Generation (RAG)
- Popular algorithms to perform embedding retrieval for RAG
- Matryoshka embeddings for RAG
- Popular fast embedding generators for RAG
- Popular Guardrails methods for LLMs
- Popular Decoding Strategies for LLMs
- How to create custom instruction tuning dataset for SFT?
- What is Quantization in LLMs?
- What is Model Merging in LLMs and what are some popular methods for model merging?
- How to create document embedding store for Retrieval-Augmented Generation (RAG)?
- Metrics to evaluate RAG system