Tag: ai/ml

This post is co-written with Marta Cavalleri and Giovanni Germani from Fastweb, and Claudia Sacco and Andrea Policarpi from BIP xTech. AI’s transformative impact extends throughout the modern business landscape, with telecommunications emerging as a key area of innovation. Fastweb, one of Italy’s leading telecommunications operators, recognized the immense potential of AI technologies early on …

Read more “How Fastweb fine-tuned the Mistral model using Amazon SageMaker HyperPod as a first step to build an Italian large language model”

Retrieval-augmented generation (RAG) supercharges large language models (LLMs) by connecting them to real-time, proprietary, and specialized data. This helps LLMs deliver more accurate, relevant, and contextually aware responses, minimizing hallucinations and building trust in AI applications. But RAG can be a double-edged sword: while the concept is straightforward – find relevant information and feed it …

Read more “Optimizing RAG retrieval: Test, tune, succeed”

Developers face significant challenges when using foundation models (FMs) to extract data from unstructured assets. This data extraction process requires carefully identifying models that meet the developer’s specific accuracy, cost, and feature requirements. Additionally, developers must invest considerable time optimizing price performance through fine-tuning and extensive prompt engineering. Managing multiple models, implementing safety guardrails, and …

Read more “Simplify multimodal generative AI with Amazon Bedrock Data Automation”

One of the biggest areas of promise for generative AI is coding assistance — leveraging the power of large language models to help developers create or update application code with amazing speed and accuracy, dramatically boosting productivity. For Gemini Code Assist, 2024 has been a year of tremendous growth and innovation, as we help companies …

Read more “Reach beyond the IDE with tools for Gemini Code Assist”

Inside Look: The Baseline Team and Forward-Deployed Infrastructure Engineering at Palantir At Palantir, our customers rely on our applications operating seamlessly across a variety of cloud providers, on-premises hardware, and both commercial and government networks. They need our platforms to function reliably in these diverse environments. This is where we, the Forward Deployed Infrastructure Engineering team — known …

Read more “The Baseline Team and Forward-Deployed Infrastructure Engineering at Palantir”

Today, we are excited to announce that the Llama 3.3 70B from Meta is available in Amazon SageMaker JumpStart. Llama 3.3 70B marks an exciting advancement in large language model (LLM) development, offering comparable performance to larger Llama versions with fewer computational resources. In this post, we explore how to deploy this model efficiently on …

Read more “Llama 3.3 70B now available in Amazon SageMaker JumpStart”