Michael ChangforFractional AI Engineering Blogengineering.fractional.ai·Nov 13, 2024Your Questions on Building with AISince the launch of Airbyte 1.0 with AI Assist, hundreds of new Airbyte connectors have been built. We recently joined our partners at Airbyte for the Data Bytes meetup where we answered questions from an audience of data engineers, AI enthusiasts, a...45 readsairbyte
Ben KadishforFractional AI Engineering Blogengineering.fractional.ai·Nov 11, 2024Using Historical Codebase To Build An Eval SuiteZapier has millions of users using thousands of integrations with different platforms. They’re constantly requesting new features they’d like to see, and Zapier has a team dedicated to identifying the most popular and useful, and implementing them to...56 readsFractional.ai
Gareth Robertshyperpriors.io·Nov 1, 2024How to Select the Most Suitable LLMIntroduction In this article, we delve into the fascinating world of Large Language Models (LLMs), which are advanced AI systems designed to understand and generate human-like text. These models have revolutionized the way we interact with technology...re-training
Dhaval Singhwww.dsdev.in·Oct 22, 2024Experiments with gpt-4o vision and architecture diagramsI was playing around with 4o’s vision capability, especially for extracting complex technical architecture diagrams and here is how i did it. It’s a bit too early for conclusion on what works and what doesn’t. More on that in later posts. What do we ...4 likes·501 readsllm
Kavyaportkey-llm-elo-rating.hashnode.dev·Oct 14, 2024⭐️ Decoding OpenAI EvalsLearn how to use the eval framework to evaluate models & prompts to optimise LLM systems for the best outputs. Rohit Agarwal May 10, 2023 ∙ 9 min Conversation on Twitter There's been a lot of buzz around model evaluations since OpenAI open-sourced t...openai
Dhaval Singhwww.dsdev.in·Jul 22, 2024Notes on evals in LLM-based applicationsA big lesson I've learned while building LLM-based applications: "Unless you have a closed feedback loop, nothing you do will be good enough" Allow me to explain. When building an LLM app, I constantly found myself chasing 100s of different optimizat...64 readsevals
