LLM

is the science of providing LLMs with the proper context to maximise performance. Once you work with LLMs, you sometimes create a system prompt, asking the LLM to perform a certain task. Nonetheless,...

For Pistilli, choosing local models versus online chatbots has implications beyond privacy. “Technology means power,” she says. “And so who owns the technology also owns the ability.” States, organizations, and even individuals is...

have entered the world of computer science at a record pace. LLMs are powerful models able to effectively performing a wide selection of tasks. Nonetheless, LLM outputs are stochastic, making them unreliable. In...

hype surrounding AI, some ill-informed ideas concerning the nature of LLM intelligence are floating around, and I’d like to deal with a few of these. I'll provide sources—most of them preprints—and welcome your...

a technique to standardise communication between AI applications and external tools or data sources. This standardisation helps to scale back the variety of integrations needed ():  You should use community-built MCP servers whenever you need...

engineering space, debates about whether using LLMs in coding is or a foul idea are raging. On the extremes, there are some individuals who think that any use of LLMs in coding...

a brand new model optimization method may be difficult, however the goal of this text is crystal clear: to showcase a pruning technique designed to not make models smaller, but to make them...

? RAG, which stands for Retrieval-Augmented Generation, describes a process by which an LLM (Large Language Model) could be optimized by training it to tug from a more specific, smaller knowledge base relatively than its...