Categories: AI/ML Research

How to Optimize Language Model Size for Deployment

The rise of language models, and more specifically large language models (LLMs), has been of such a magnitude that it has permeated every aspect of modern AI applications — from chatbots and search engines to enterprise automation and coding assistants.
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Recent Posts

Teaching the model: Designing LLM feedback loops that get smarter over time

How to close the loop between user behavior and LLM performance, and why human-in-the-loop systems…

15 hours ago

I Tried the Best At-Home Pet DNA Test Kits on My Two Cats (2025)

I sent my cats' saliva to the lab to get health and genetic insights sent…

15 hours ago

Wan LoRa that creates hyper-realistic people just got an update

The Instagirl Wan LoRa was just updated to v2.3. It was retrained to be better…

2 days ago

Vibe Coding is Shoot-and-Forget Coding

TL;DR Vibe coding is great for quick hacks; lasting software still needs real engineers. Vibe…

2 days ago

Scaling On-Prem Security at Palantir

How Insight, Foundry & Apollo Keep Thousands of Servers in CheckIntroductionWhen it comes to Palantir’s on-premises…

2 days ago

Introducing Amazon Bedrock AgentCore Gateway: Transforming enterprise AI agent tool development

To fulfill their tasks, AI Agents need access to various capabilities including tools, data stores,…

2 days ago