Hosted on MSN
5 self-hosted LLMs I use for specific tasks
For the past few years, my world of AI was limited to the big names like ChatGPT and Gemini. But when my colleagues at XDA started sharing their experiences with self-hosted LLMs, my curiosity was ...
This desktop app for hosting and running LLMs locally is rough in a few spots, but still useful right out of the box.
As large language models (LLMs) continue to improve at coding, the benchmarks used to evaluate their performance are steadily becoming less useful. That's because though many LLMs have similar high ...
The use of large language models (LLMs) as an alternative to search engines and recommendation algorithms is increasing, but early research suggests there is still a high degree of inconsistency and ...
Contrast that with how LLMs are currently the dominant form of AI people think of when they hear the term and how they actually function. In reality, LLMs are statistical prediction machines that have ...
[Simon Willison] has put together a list of how, exactly, one goes about using a large language models (LLM) to help write code. If you have wondered just what the workflow and techniques look like, ...
Tech Xplore on MSN
Platforms that rank the latest LLMs can be unreliable
A firm that wants to use a large language model (LLM) to summarize sales reports or triage customer inquiries can choose between hundreds of unique LLMs with dozens of model variations, each with ...
Tech Xplore on MSN
Personalization features can make LLMs more agreeable, potentially creating a virtual echo chamber
Many of the latest large language models (LLMs) are designed to remember details from past conversations or store user profiles, enabling these models to personalize responses. But researchers from ...
The latest trends in software development from the Computer Weekly Application Developer Network. Many of our core enterprise computing infrastructure core contrasts are changing. Where we were ...
It’s time to move past large language models and create a new narrative. The hiccups we’ve experienced from large language models and generative AI — a still-novel technology — since its inception a ...
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