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 ...
InfoWorld

LlamaIndex review: Easy context-augmented LLM applications

“Turn your enterprise data into production-ready LLM applications,” blares the LlamaIndex home page in 60 point type. OK, then. The subhead for that is “LlamaIndex is the leading data framework for ...
InfoWorld

Surveying the LLM application framework landscape

LLM application frameworks help by reducing the amount of code you need to write to create an application. The fact that these application frameworks have been designed and coded by experts, tested by ...
Business Wire

Securiti AI Launches Context-Aware LLM Firewalls to Secure GenAI Applications

SAN JOSE, Calif.--(BUSINESS WIRE)--Securiti, the pioneer of the Data+AI Command Center, today announced a new category of LLM Firewalls, the Securiti LLM Firewall, purpose built to protect GenAI ...
Business Wire

Inception Raises $50M to Power Diffusion LLMs, Increasing LLM Speed and Efficiency by up to 10X and Unlocking Real-Time, Accessible AI Applications

New funding will scale the development of faster, more efficient AI models for text, voice, and code Inception dLLMs have already demonstrated 10x speed and efficiency gains over traditional LLMs PALO ...