Geeky Gadgets

How to Fine-Tune Custom AI Models with Advanced Quality Data

What separates a mediocre large language model (LLM) from a truly exceptional one? The answer often lies not in the model itself, but in the quality of the data used to fine-tune it. Imagine training ...
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 ...
Opinion

Democratizing AI adoption with Tether’s Bitnet LLM fine-tuning framework

While tech giants lock smaller businesses out of advanced AI, Tether is using localized fine-tuning and P2P networks to democratize superintelligence for billions of people.

Context compression finally works in production: new research cuts LLM input 16x without the accuracy hit

LCLMs compress LLM context before decode — 8.8x faster at 16x compression, beating every KV cache method tested. Open-sourced by NYU and Columbia.
TechRepublic

Cisco Talos Researcher Reveals Method That Causes LLMs to Expose Training Data

In this TechRepublic interview, Cisco researcher Amy Chang details the decomposition method and shares how organizations can protect themselves from LLM data extraction. Cisco Talos AI security ...
eWeek

How to Train an LLM: A Simple, User-Friendly Guide

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...
InfoWorld

Databricks’ TAO method to allow LLM training with unlabeled data

Test-time Adaptive Optimization can be used to increase the efficiency of inexpensive models, such as Llama, the company said. Data lakehouse provider Databricks has unveiled a new large language ...
Forbes

The Open-Source LLM Revolution: Transforming Enterprise AI For A New Era

On January 20, 2025, Chinese AI startup DeepSeek unveiled R1, an open-source large language model (LLM) that is redefining industry expectations. Designed to offer performance on par with proprietary ...