Llm
large language models, prompting, and llm applications
[14 items]posts
AI Lent - Day 8-26 - Back to coding agents
llm engineering lifeAI Lent - Day 7 - Almost failed
llm engineering lifeAI Lent - Day 6
llm engineering lifeAI Lent - Day 4 & 5
llm engineering lifeAI Lent - Day 3 - Rediscovery
llm engineering lifeAI Lent - Day 2 - Thawing
llm engineering lifeAI Lent - Day 1 - Rusty
llm engineering life40 days of AI Lent
llm engineering lifeA tongue-in-cheek take on 'fasting' from AI-assisted coding, reflecting on engineering, and honing one's engineering skills through manual coding
RAG systems have a recall problem, not a hallucination one
engineering llm machine_learning"As an AI language model, your RAG pipeline sucks and I'm pretty sure there's information you're not giving me..."
Semantic Router: GPT-4o API video sampling via semantic chunking
llm semantic_routerA sampling strategy for the GPT-4o API 2-4 frames per second requirement
Semantic Router: Postprocessing LLM output using Semantic Splitters
llm semantic_routerTrim extraneous LLM output automatically. No regex, no string parsing.
Semantic Router: Steer local LLMs for decision-making and more
llm semantic_routerUse LLM and agent input semantic meaning as a superfast decision layer for your applications
Formal Grammars for Large Language Models
llmGet useful, structured output from even the smallest of LLMs