Tag: LLM

Mistral AI & Singapore MOD Partner on AI

France's Mistral AI is collaborating with Singapore's Ministry of Defence, Defence Science and Technology Agency (DSTA), and DSO National Laboratories (DSO) to develop and deploy generative AI (genAI) solutions. This partnership focuses on refining large language models (LLMs) and creating a specialized mixture-of-experts (MoE) model for enhanced defense capabilities and secure operations.

Mistral AI & Singapore MOD Partner on AI

AI in Business: A Clear Glossary

Demystify AI jargon in business meetings. This concise glossary defines key terms like LLMs, Reasoning Engines, Diffusion Models, Agents, Agentic Systems, Deep Research Tools, Low-Code, and No-Code AI, ensuring everyone is on the same page for productive discussions and informed decisions. Improve team alignment and achieve shared objectives.

AI in Business: A Clear Glossary

Alexa Moves to Cloud-Only Voice Processing

Amazon's Alexa is ending local voice processing, shifting all data to the cloud. The 'Do Not Send Voice Recordings' option is gone, raising privacy concerns. This change, effective March 28th, supports generative AI development, like Alexa+, but limits user control over data. Users must now choose between accepting cloud processing or abandoning Alexa.

Alexa Moves to Cloud-Only Voice Processing

Ryzen AI Max+ 395 vs. Apple M4 Pro: AI Face-Off

AMD's Ryzen AI Max+ 395 is powerful, but how does it compare to Apple's M4 Pro in AI tasks? We delve into benchmarks, comparing the Strix Halo APU not just to Intel's Lunar Lake, but also to Apple silicon, revealing a surprisingly competitive landscape in the high-performance, AI-accelerated processor arena. The results highlight evolving architectures.

Ryzen AI Max+ 395 vs. Apple M4 Pro: AI Face-Off

DeepSeek: Cheaper, Better, Faster LLMs?

DeepSeek's new open-source LLM offers reduced power consumption and lower operational costs. It represents a significant step towards more efficient and accessible GenAI, democratizing its productivity-enhancing potential. This impacts data centers, infrastructure, and the competitive landscape, demanding a balanced approach to risks and opportunities in the evolving AI field.

DeepSeek: Cheaper, Better, Faster LLMs?

DeepSeek: China's AI Darling, a Double-Edged Sword?

DeepSeek's meteoric rise in China, fueled by Xi Jinping's endorsement, presents both unprecedented opportunities and potential pitfalls. From courthouses to crisis lines, its applications are diverse, but scaling challenges, ethical concerns, and geopolitical tensions loom large. This article explores DeepSeek's journey, the complexities of rapid AI adoption, and its global implications.

DeepSeek: China's AI Darling, a Double-Edged Sword?

Echo Privacy Update: Cloud Processing Mandatory

Amazon is ending local voice processing for some Echo devices, requiring cloud processing for voice commands. This change, impacting users with the 'Do Not Send Voice Recordings' setting, aims to enhance Alexa's generative AI capabilities but raises privacy concerns. Voice ID is also disabled for affected users. Learn about the implications and alternatives.

Echo Privacy Update: Cloud Processing Mandatory

Mistral AI's New Compact Model: Power in Small Size

Mistral AI releases Mistral Small 3.1, a compact yet powerful AI model, challenging industry giants. It boasts enhanced text and multimodal capabilities, a large context window, and high processing speed. Mistral AI's focus on efficiency and open-source collaboration makes advanced AI more accessible, potentially disrupting the industry and paving the way for wider AI adoption.

Mistral AI's New Compact Model: Power in Small Size

Mistral's Small 3.1: Open-Source AI Challenger

Mistral AI's new open-source model, Mistral Small 3.1, rivals larger models from Google and OpenAI. With only 24 billion parameters, it boasts multimodal capabilities, a 128k token context window, and impressive speed. Mistral AI champions open-source, European digital sovereignty, and sustainability, offering a compelling alternative in the AI landscape.

Mistral's Small 3.1: Open-Source AI Challenger

DDN, Mistral AI & Fluidstack: Enterprise AI

DDN, Mistral AI, and Fluidstack have formed a strategic alliance to revolutionize enterprise AI. This partnership offers a powerful AI infrastructure for training and deploying Large Language Models (LLMs), providing enterprises with a competitive edge. It promises enhanced success, flexibility, deployment ease, cost-effectiveness, and a commitment to Green AI, maximizing the return on AI investments.

DDN, Mistral AI & Fluidstack: Enterprise AI