8 years later: A world Go champion’s reflections on AlphaGo
World-famous Go champion Lee Sae Dol reflects on his match against our AI system AlphaGo eight years ago.
8 years later: A world Go champion’s reflections on AlphaGo
World-famous Go champion Lee Sae Dol reflects on his match against our AI system AlphaGo eight years ago.
8 years later: A world Go champion’s reflections on AlphaGo
World-famous Go champion Lee Sae Dol reflects on his match against our AI system AlphaGo eight years ago.
8 years later: A world Go champion’s reflections on AlphaGo
World-famous Go champion Lee Sae Dol reflects on his match against our AI system AlphaGo eight years ago.
8 years later: A world Go champion’s reflections on AlphaGo
World-famous Go champion Lee Sae Dol reflects on his match against our AI system AlphaGo eight years ago.
Unlock the potential of generative AI in industrial operations
In the evolving landscape of manufacturing, the transformative power of AI and machine learning (ML) is evident, driving a digital revolution that streamlines operations and boosts productivity. However, this progress introduces unique challenges for enterprises navigating data-driven solutions. Industrial facilities grapple with vast volumes of unstructured data, sourced from sensors, telemetry systems, and equipment dispersed …
Unlock the potential of generative AI in industrial operations Read More »
Enhance performance of generative language models with self-consistency prompting on Amazon Bedrock
Generative language models have proven remarkably skillful at solving logical and analytical natural language processing (NLP) tasks. Furthermore, the use of prompt engineering can notably enhance their performance. For example, chain-of-thought (CoT) is known to improve a model’s capacity for complex multi-step problems. To additionally boost accuracy on tasks that involve reasoning, a self-consistency prompting …
What’s cooking: How Hellmann’s is using Google Cloud AI to turn leftovers into meals
Hellmann’s introduces Meal Reveal, a new tool powered by Google Cloud AI that analyses fridge contents and suggests matching recipes.
Optimize price-performance of LLM inference on NVIDIA GPUs using the Amazon SageMaker integration with NVIDIA NIM Microservices
NVIDIA NIM microservices now integrate with Amazon SageMaker, allowing you to deploy industry-leading large language models (LLMs) and optimize model performance and cost. You can deploy state-of-the-art LLMs in minutes instead of days using technologies such as NVIDIA TensorRT, NVIDIA TensorRT-LLM, and NVIDIA Triton Inference Server on NVIDIA accelerated instances hosted by SageMaker. NIM, part …
Fine-tune Code Llama on Amazon SageMaker JumpStart
Today, we are excited to announce the capability to fine-tune Code Llama models by Meta using Amazon SageMaker JumpStart. The Code Llama family of large language models (LLMs) is a collection of pre-trained and fine-tuned code generation models ranging in scale from 7 billion to 70 billion parameters. Fine-tuned Code Llama models provide better accuracy …
Fine-tune Code Llama on Amazon SageMaker JumpStart Read More »