TechCrunch

Tether is pushing the 13-billion parameter BitNet b1.58 LLM to the edge.

Tether released a fine-tuning framework for Microsoft’s BitNet b1.58 LLM that works on any GPUs and consumer-grade handheld devices. For the first time, the model can be fine-tuned efficiently across ...
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 ...
Geeky Gadgets

How to Fine Tune your own LLM using LoRA (on a Custom dataset)

Imagine unlocking the full potential of a massive language model, tailoring it to your unique needs without breaking the bank or requiring a supercomputer. Sounds impossible? It’s not. Thanks to ...
Geeky Gadgets

How to fine tune Llama 2 70B LLM on consumer-grade hardware

The world of artificial intelligence has seen a significant leap forward with the advent of large language models (LLMs) like the Llama 70B. These models have the potential to revolutionize various ...
VentureBeat

MosaicML launches MPT-7B-8K, a 7B-parameter open-source LLM with 8k context length

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More MosaicML has unveiled MPT-7B-8K, an open-source large language model (LLM ...
TechCrunch

Instead of fine-tuning an LLM as a first approach, try prompt architecting instead

Amid the generative AI eruption, innovation directors are bolstering their business’ IT department in pursuit of customized chatbots or LLMs. They want ChatGPT but with domain-specific information ...
Hosted on MSN

The biggest local LLM on your machine is useless if it can't call a single tool, no matter how many parameters it has

When most people think about running AI locally, the conversation typically collapses into one number: parameters. How many billions can you fit in your VRAM, and is it enough to be useful? The ...