#llm

#llm

SoftBank investing $960 million in developing a Japanese-language-specific generative artificial intelligence model with Nvidia's GPUs. [ more ]

Setting up a ChatGPT-like LLM locally can provide benefits like data security and offline access.

Using CodeProject.AI Server simplifies setup for running an LLM locall. [ more ]

Databricks launches open-source LLM - DBRX, developed by Mosaic AI, optimized for efficiency with MoE architecture. Outperforms OpenAI's GPT-3.5 in language, programming, math.

DBRX boasts 132 billion parameters but only 36 billion active at once, offering near-instantaneous responses; Databricks provides it for free on GitHub and Hugging Face for customer improvement. [ more ]

Google expands generative AI tools in medicine, including LLM applications and a dermatology database.

Google's cautious approach to real-world testing in healthcare with the possibility of backing away if models are not effective. [ more ]

LLMs are easy to build with just a few hundred lines of Python

The quantity and quality of training data is the most important factor in the performance of LLMs [ more ]

Crafting compelling narratives and strategies is key to success for product managers.

Leveraging Large Language Models (LLMs) can enhance product managers' communication, user experiences, and insights. [ more ]

Claude 3.5 Sonnet is the latest large language model from Anthropic, outperforming GPT-4o and Gemini 1.5 Pro. [ more ]

eXact-RAG is a powerful multimodal model integrating text, visual, and audio information for enhanced content understanding and generation. [ more ]