VentureBeat

How enterprises are using open source LLMs: 16 examples

VentureBeat and other experts have argued that open-source large language models (LLMs) may have a more powerful impact on generative AI in the enterprise. More powerful, that is, than closed models, ...
XDA Developers on MSN

How NotebookLM made self-hosting an LLM easier than I ever expected

With a self-hosted LLM, that loop happens locally. The model is downloaded to your machine, loaded into memory, and runs ...
InfoWorld

Surveying the LLM application framework landscape

Large language models by themselves are less than meets the eye; the moniker “stochastic parrots” isn’t wrong. Connect LLMs to specific data for retrieval-augmented generation (RAG) and you get a more ...
Forbes

Here’s How Big LLMs Teach Smaller AI Models Via Leveraging Knowledge Distillation

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine the rising tendency of employing ...
Forbes

Three Challenges With Adopting Domain-Specific LLMs

Global Senior VP, Head of Digital Transformation, at CriticalRiver. Top 100 Diverse Leaders. Business efficiency with cloud, AI and ML SaaS. According to McKinsey, generative AI could deliver between ...
InfoWorld

Semantic Kernel: A bridge between large language models and your code

Microsoft’s Semantic Kernel SDK makes it easier to manage complex prompts and get focused results from large language models like GPT. At first glance, building a large language model (LLM) like GPT-4 ...