⭐️ Getting Started with Llama 2
Llama 2 is an open-source large language model (LLM) developed by Meta. See Llama 2's capabilities, comparisons, and how to run LLAMA 2 locally using Python.
Rohit Agarwal
🌖 Announcing $3M Seed Round to Bring LLMs to Production
Portkey is building a full-stack LLMOps platform that empowers AI builders to productionize their Gen AI apps reliably and securely.
⭐️ Analyze your LLM calls - 2.0
Portkey's analytics 2.0 give our users complete visibility into their LLM calls across requests, users, errors, cache and feedback.
⭐ Building Reliable LLM Apps: 5 Things To Know
In this blog post, we explore a roadmap for building reliable large language model applications. Let’s get started!
⭐️ Decoding OpenAI Evals
Learn how to use the eval framework to evaluate models & prompts to optimise LLM systems for the best outputs.
⭐️ Ranking LLMs with Elo Ratings
Choosing an LLM from 50+ models available today is hard. We explore Elo ratings as a method to objectively rank and pick the best performers for our use case.
Self-Consistency Improves Chain of Thought Reasoning in Language Models - Summary
The paper proposes a new decoding strategy called self-consistency to improve the performance of chain-of-thought prompting in language models for complex reasoning tasks. Self-consistency first samples a diverse set of reasoning paths and then selects the most consistent answer by marginalizing ou