LLM
RAG is about Context not Vectors
RAG means Retrieval-Augmented Generation and it provides context to Large Language Models.
Vertesia Blog
LLM
LLMs don’t hallucinate, they make mistakes.
Do LLMs hallucinate? No, LLMs make mistakes but there are strategies to mitigate the impact of these mistakes.
LLM
Demystifying Large Language Models: A Quick Guide for Enterprise Architects
This article defines what an LLM is, reviews some use cases for LLMs, and when to consider a platform for managing and orchestrating LLM-powered...
NEWS
Composable Secures $4M in Seed Funding led by Elaia Partners & Illuminate Financial
Vertesia (Composable) secured $4M in seed funding to spearhead enterprise adoption of Large Language Models (LLMs).
LEARNING
LLM-Powered Command Line Scripts: Automated Documentation Proofreading
Refine, enhance, and streamline your documentation. With just a few lines of code, integrate LLM-powered tasks into your build and deployment...
PRODUCT
Synthetic LLM: A Game-Changer in AI Task Distribution
Synthetic LLM is a transformative feature in our platform that will redefine the way tasks are distributed across multiple LLMs from diverse...
LLM
Prompts as Source Code, not Conversations
Discover why prompts are more akin to source code than simple instructions and how Vertesia is shaping the future of LLM integration in apps.
LLM
Introducing Vertesia: The Future of LLM Integration
Unveiling Vertesia, a groundbreaking platform for Large Language Models (LLMs), transforming business applications and interactions.
LLM
AWS Bedrock Support: Claude, Cohere and AI21 now available
Amazon Bedrock is now part of our supported execution environments, enabling access to AWS exclusive AI models such as Claude, Cohere, AI21, and...
LEARNING
Experimenting with LLM-powered apps and language learning
Dive into our experimental journey with the (Large) Language Tutor, an LLM-powered language learning assistant.