News & Current Events
Insights & Perspectives
AI Research
AI Products
Search
EDGENT
IQ
EDGENT
iq
About
Terms
Privacy Policy
Contact Us
EDGENT
iq
News & Current Events
Insights & Perspectives
Analytical Insights & Perspectives
Financial Sector Fortifies Against Surging AI-Powered Scams
Analytical Insights & Perspectives
Deloitte’s 2025 Outlook: Navigating Escalating AI Challenges in Human Capital
Analytical Insights & Perspectives
Salesforce Study Reveals Data Quality is Pivotal for Employee Trust in AI Adoption
Analytical Insights & Perspectives
Top Executives Sidestep Company AI Guidelines, Fueling Shadow AI Risks
Analytical Insights & Perspectives
Intel’s Evolving IP Strategy: A Calculated Shift Towards Core AI Innovation
Analytical Insights & Perspectives
Generative AI Prompts Increased Workforce Surveillance in Indian IT Sector
AI Research
AI Products
Search
EDGENT
IQ
News & Current Events
Insights & Perspectives
Analytical Insights & Perspectives
Financial Sector Fortifies Against Surging AI-Powered Scams
Analytical Insights & Perspectives
Deloitte’s 2025 Outlook: Navigating Escalating AI Challenges in Human Capital
Analytical Insights & Perspectives
Salesforce Study Reveals Data Quality is Pivotal for Employee Trust in AI Adoption
Analytical Insights & Perspectives
Top Executives Sidestep Company AI Guidelines, Fueling Shadow AI Risks
Analytical Insights & Perspectives
Intel’s Evolving IP Strategy: A Calculated Shift Towards Core AI Innovation
Analytical Insights & Perspectives
Generative AI Prompts Increased Workforce Surveillance in Indian IT Sector
AI Research
AI Products
Search
Optimizing AI Inference: How Span Queries Boost Performance for Next-Gen Workloads
MISA: Optimizing Large Language Models with Module-wise Importance Sampling
Optimizing LLM Collaboration: A Graph-Based Approach to Test-Time Scaling
Adaptive Reasoning for Language Models: Balancing Performance and Cost
RAGSmith: Optimizing Retrieval-Augmented Generation for Diverse Data Domains
Recently Added
NVIDIA’s Data Flywheel: How AI Agents Learn and Improve Continuously
Read more
Unlocking Black-Box Optimization: How GPTOpt Leverages LLMs for Efficiency
Read more
Integer Quantization Emerges as a Strong Contender Against Floating-Point in AI Hardware
Read more
Boosting Multi-Agent System Efficiency with Real-Time Supervision
Read more
Adaptive Expert Scheduling for Efficient AI Model Inference
Read more
EGO-Prompt: Automating LLM Adaptation for Specialized Tasks with Evolving Domain Knowledge
Read more
Optimizing LLM Performance: Navigating Quality, Cost, and Speed with Reflection and Budget Tuning
Read more
Bridging Language and Numbers: How New AI Training Boosts LLM Reasoning
Read more
Beyond Average: Optimizing LLM Prompts for Real-World Reliability
Read more
Weak-for-Strong (W4S): A Breakthrough in AI Orchestration with Weak Meta-Agents Guiding Powerful LLMs
Read more
Optimizing LLM Workflows by Understanding Failure Patterns
Read more
EA4LLM: Optimizing Large Language Models Without Gradients Using Evolutionary Algorithms
Read more
Multidimensional Feedback for Smarter Language Models
Read more
AdaSwitch: A New Method for Efficient Language Model Distillation
Read more
Agentic Reasoning Modules: A New Approach to Generalizable LLM Problem Solving
Read more
Faster AI Collaboration: Introducing Staircase Streaming for Multi-Agent Systems
Read more
Boosting LLM Reinforcement Learning Through Semantic Diversity Ordering
Read more
Prompt Policy Network: Dynamically Optimizing LLM Strategies for Efficiency and Accuracy
Read more
Boosting Language Model Reasoning with Reinforcement Learning on Pre-Training Data
Read more
Boosting Math Skills: How to Optimize Large Language Models for Real-World Use
Read more
Maestro: A Holistic Optimizer for Reliable AI Agent Systems
Read more
GreenTEA: An Agentic Workflow for Automated LLM Prompt Optimization
Read more
Boosting LLM Efficiency on Edge Devices with Global-Local Neuron Aggregation
Read more
TaoSR1: Enhancing E-commerce Search with Advanced Language Models
Read more
Optimizing Large Language Models for Long Contexts with Adaptive Chunk Sampling
Read more
J6: A New Framework for Balancing Accuracy and Confidence in Large Language Models
Read more
Algomizer Leads Generative Engine Optimization for 2025, Revolutionizing AI Visibility for Brands
Read more
Smart LLM Adaptation: DP-LLM Adjusts Precision on the Fly
Read more
Generative Engine Optimization Emerges as New Frontier for Brands Amidst AI Chatbot Boom
Read more
CRINN: AI Framework Accelerates Approximate Nearest Neighbor Search Algorithms
Read more
Load more
Gen AI News and Updates
Subscribe
I have read and accepted the
Terms of Use
and
Privacy Policy
of the website and company.
- Advertisement -
What's new?
Search
Optimizing AI Inference: How Span Queries Boost Performance for Next-Gen Workloads
November 5, 2025
MISA: Optimizing Large Language Models with Module-wise Importance Sampling
November 4, 2025
Optimizing LLM Collaboration: A Graph-Based Approach to Test-Time Scaling
November 4, 2025
Load more
