OpenAI starts offering a biology-tuned LLM

On Thursday, OpenAI announced it had developed a large language model specifically trained on common biology workflows.

LLM-As-A-Judge: What To Expect From Using AI To Evaluate AI

LLM-as-a-judge is exactly what it sounds like: using one language model to evaluate the outputs of another. Your first ...
Semiconductor Engineering

Systematic Analysis of CPU-Induced Slowdowns in Multi-GPU LLM Inference (Georgia Tech)

A new technical paper, “Characterizing CPU-Induced Slowdowns in Multi-GPU LLM Inference,” was published by the Georgia Institute of Technology. “Large-scale machine learning workloads increasingly ...
IEEE

LLM4Load-Turbo: A Prompt-Driven LLM Framework with Knowledge Distillation for Efficient Multi-Scale Workload Prediction

Abstract: Accurate workload prediction is essential to ensure application Quality of Service (QoS), cost efficiency, and compliance with Service Level Agreements (SLAs) during cloud-based deployment.
GitHub

LLM Debate Benchmark: Adversarial Multi-Turn Argument Under Opposition

This benchmark measures how well large language models perform in adversarial, multi-turn debates across a wide range of propositions. Strong performance is not just about producing a polished first ...
TMCnet

Traefik Labs Advances LLM and MCP Runtime Governance with Composable Safety Pipeline, Multi-Provider Resilience, and Token-Level Cost Controls

NVIDIA GTC - Traefik Labs today announced new capabilities that extend Traefik Hub's Triple Gate architecture (API Gateway, AI Gateway, and MCP Gateway) with deeper runtime governance across the full ...
MarketWatch

Traefik Labs Advances LLM and MCP Runtime Governance with Composable Safety Pipeline, Multi-Provider Resilience, and Token-Level Cost Controls

The MarketWatch News Department was not involved in the creation of this content. New capabilities extend Traefik Hub's Triple Gate architecture with guardrail integrations from NVIDIA, IBM, and ...
Morningstar

Traefik Labs Advances LLM and MCP Runtime Governance with Composable Safety Pipeline, Multi-Provider Resilience, and Token-Level Cost Controls

New capabilities extend Traefik Hub's Triple Gate architecture with guardrail integrations from NVIDIA, IBM, and Microsoft running in parallel, plus the ability for organizations to write their own ...
marktechpost

A Coding Implementation to Build a Hierarchical Planner AI Agent Using Open-Source LLMs with Tool Execution and Structured Multi-Agent Reasoning

In this tutorial, we build a hierarchical planner agent using an open-source instruct model. We design a structured multi-agent architecture comprising a planner agent, an executor agent, and an ...
VentureBeat

Microsoft's new AI training method eliminates bloated system prompts without sacrificing model performance

In building LLM applications, enterprises often have to create very long system prompts to adjust the model’s behavior for their applications. These prompts contain company knowledge, preferences, and ...
The Nation Newspaper

Multi-level collation biggest threat to elections, says INEC

The Independent National Electoral Commission (INEC) has identified multi-level collation of results as the greatest threat to Nigeria’s electoral process. INEC Chairman, Prof. Joash Amupitan, said ...
InfoWorld

Multi-token prediction technique triples LLM inference speed without auxiliary draft models

With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale. High inference latency and ...