⭐️ 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.
How to differentiate your AI product - Jasper style! As developers and founders, you might find yourself asking how does your startup differentiate from ChatGPT. More so, how do you convince a customer to try your product over a generic Chat client.
🌖 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.
Skeleton-of-Thought: Large Language Models Can Do Parallel Decoding - Summary This paper introduces the Skeleton-of-Thought (SoT) method to decrease the generation latency of large language models (LLMs). SoT guides LLMs to first generate the skeleton of the answer and then conducts parallel API calls or batched decoding to complete the contents of each skeleton point. The m
My Journey with AI-Driven Development: From Curiosity to Necessity As I reflect upon my last 1 year coding journey, I am struck by how deeply Artificial Intelligence (AI) has woven itself into my development practices. From the likes of GitHub Copilot to the genius behind ChatGPT, my approach to writing code has undergone a transformative shift. Allow me to
⭐️ 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!