A Practical Deep Dive on LLM Inference and Optimization!
...covered with fundamentals, bottlenecks, and techniques!
Lire
A New Way to Handle Residual Connections in Transformers
...explained visually!
Lire
LLM Fine-tuning: Techniques for Adapting Language Models
Understanding LoRA, QLoRA, RLHF, DPO, GRPO, etc.
Lire
How to Actually Use Train, Validation, and Test Sets in ML
...explained visually!
Lire
Set Up a Secure OpenClaw Deployment!
...explained in step-by-step guide!
Lire
![[Hands-on] A Federated Query Engine Over Your Entire Data](https://substack-post-media.s3.amazonaws.com/public/images/ca687e24-2c8d-4a2f-abdc-f6ad4aca6c37_1080x1082.png)
[Hands-on] A Federated Query Engine Over Your Entire Data
...built with open-source stack!
Lire
Prompt Caching in LLMs!
A case study on how Claude achieves 92% cache hit-rate.
Lire
A Practical Guide to Evaluation of LLM Apps (Part C)
Understanding evaluation of conversational LLM systems, toolcalls, tracing, and red teaming.
Lire