How-To Geek on MSN

I used a local LLM to give my smart bulb a personality (and it's starting to give me the creeps)

Let there be light.
VentureBeat

Fine-tuning vs. in-context learning: New research guides better LLM customization for real-world tasks

Two popular approaches for customizing large language models (LLMs) for downstream tasks are fine-tuning and in-context learning (ICL). In a recent study, researchers at Google DeepMind and Stanford ...
Hackaday

Trying Pair Programming With An LLM Chatbot

When it comes to software developers, there are a few distinct types. For example, the extroverted, chatty type, who is ...
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 ...

Inside LLM SEO: How to optimize and measure your brand’s visibility

WebFX reports that LLM SEO optimizes brand visibility in AI responses, vital as AI search growth shifts user behavior.

Monitoring LLM behavior: Drift, retries, and refusal patterns

The offline pipeline's primary objective is regression testing — identifying failures, drift, and latency before production.
Hosted on MSN

Context7 is the most underrated MCP server you're not using for your local LLM

Model Context Protocol enables a Large Language Model (LLM) to do a lot more than just answer questions. Acting as a translator between the model and the digital world, it can abstract data from a ...