LLMS - AI Dynamics

The significance of #8 will grow a lot in 2025 I finally turned a point where I am asking Grok to summarise threads into a complete post almost every day now

→ View original post on X — @testingcatalog

7 January 2025

RAG, Attention Mechanisms, and Mamba Architectures in LLMs

By

@databricks

–

07 January 2025 0h10

Databricks research scientist @shashank_r12 s shares approaches in LLMs:
– How RAG enhances accuracy – Evolution of attention mechanisms
– Practical applications & trade-offs of Mamba architectures

→ View original post on X — @databricks

7 January 2025

Deploying LLMs with low latency and real-time responsiveness

By

@cerebras

–

06 January 2025 23h30

Deploying LLMs with low latency and real-time responsiveness is no small task. But with @datarobot and Cerebras Inference, you’ll be ready to customize and deploy LLMs that deliver speed, precision, and real-time responsiveness. Dive in: https://
hubs.li/Q031lCn10

→ View original post on X — @cerebras

6 January 2025

Scaling Test-Time Compute: New Frontier in AI Model Optimization

By

@localghost

–

06 January 2025 22h12

https://
huggingface.co/spaces/Hugging
FaceH4/blogpost-scaling-test-time-compute
…

→ View original post on X — @localghost

6 January 2025

3B Reasoning Model Outperforms 70B: AI Intelligence Surge Expected

By

@localghost

–

06 January 2025 22h09

I keep coming back to this graph. A 3b reasoning model beating its 70b equivalent is insane. It’s still ridiculously early for reasoning too. Every model is going to 10X+ in intelligence this year.

→ View original post on X — @localghost

6 January 2025