Lessons

Beyond accelerators: Lessons from building foundation models on AWS with Japan’s GENIAC program | Amazon Web Services

In 2024, the Ministry of Economy, Trade and Industry (METI) launched the Generative AI Accelerator Challenge (GENIAC)—a Japanese national program to boost generative AI by providing companies with funding, mentorship, and massive compute resources for foundation model (FM) development. AWS was selected as the cloud provider for GENIAC’s second cycleContinue Reading

From RAG to fabric: Lessons learned from building real-world RAGs at GenAIIC – Part 2 | Amazon Web Services

In: Artificial Intelligence

In Part 1 of this series, we defined the Retrieval Augmented Generation (RAG) framework to augment large language models (LLMs) with a text-only knowledge base. We gave practical tips, based on hands-on experience with customer use cases, on how to improve text-only RAG solutions, from optimizing the retriever to mitigatingContinue Reading

Best practices and lessons for fine-tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock | Amazon Web Services

In: Artificial Intelligence

Fine-tuning is a powerful approach in natural language processing (NLP) and generative AI, allowing businesses to tailor pre-trained large language models (LLMs) for specific tasks. This process involves updating the model’s weights to improve its performance on targeted applications. By fine-tuning, the LLM can adapt its knowledge base to specificContinue Reading

From RAG to fabric: Lessons learned from building real-world RAGs at GenAIIC – Part 1 | Amazon Web Services

In: Artificial Intelligence

The AWS Generative AI Innovation Center (GenAIIC) is a team of AWS science and strategy experts who have deep knowledge of generative AI. They help AWS customers jumpstart their generative AI journey by building proofs of concept that use generative AI to bring business value. Since the inception of AWSContinue Reading

Lessons

Beyond accelerators: Lessons from building foundation models on AWS with Japan’s GENIAC program | Amazon Web Services

From RAG to fabric: Lessons learned from building real-world RAGs at GenAIIC – Part 2 | Amazon Web Services

Best practices and lessons for fine-tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock | Amazon Web Services

From RAG to fabric: Lessons learned from building real-world RAGs at GenAIIC – Part 1 | Amazon Web Services

Scientists shocked by reversed electric field around Earth

Those Halloween fireballs might be more dangerous than you think