Come Partner with Us

Build a self-service digital assistant using Amazon Lex and Knowledge Bases for Amazon Bedrock

Favorite Organizations strive to implement efficient, scalable, cost-effective, and automated customer support solutions without compromising the customer experience. Generative artificial intelligence (AI)-powered chatbots play a crucial role in delivering human-like interactions by providing responses from a knowledge base without the involvement of live agents. These chatbots can be efficiently utilized

Read More
Shared by AWS Machine Learning July 1, 2024

Open Source AI Definition – Weekly update July 1

Favorite An open call to test OpenVLA Last week @quaid suggested conducting a controlled experiment to determine if data information alone is sufficient to recreate an AI model with fidelity to the original. He shared insights from the OpenVLA project, noting its possible compliance with the requirements of draft v0.0.8

Read More
Shared by voicesofopensource July 1, 2024

Build generative AI applications on Amazon Bedrock — the secure, compliant, and responsible foundation

Favorite Generative AI has revolutionized industries by creating content, from text and images to audio and code. Although it can unlock numerous possibilities, integrating generative AI into applications demands meticulous planning. Amazon Bedrock is a fully managed service that provides access to large language models (LLMs) and other foundation models (FMs)

Read More
Shared by AWS Machine Learning June 28, 2024

AI21 Labs Jamba-Instruct model is now available in Amazon Bedrock

Favorite We are excited to announce the availability of the Jamba-Instruct large language model (LLM) in Amazon Bedrock. Jamba-Instruct is built by AI21 Labs, and most notably supports a 256,000-token context window, making it especially useful for processing large documents and complex Retrieval Augmented Generation (RAG) applications. What is Jamba-Instruct

Read More
Shared by AWS Machine Learning June 26, 2024