Efficient long-context inference with LLMs requires managing substantial GPU memory due to the high storage demands of key-value (KV) caching. […]
Category: Technology
Meta AI Introduces ParetoQ: A Unified Machine Learning Framework for Sub-4-Bit Quantization in Large Language Models
As deep learning models continue to grow, the quantization of machine learning models becomes essential, and the need for effective […]
Sundial: A New Era for Time Series Foundation Models with Generative AI
Time series forecasting presents a fundamental challenge due to its intrinsic non-determinism, making it difficult to predict future values accurately. […]
Fine-Tuning of Llama-2 7B Chat for Python Code Generation: Using QLoRA, SFTTrainer, and Gradient Checkpointing on the Alpaca-14k Dataset
In this tutorial, we demonstrate how to efficiently fine-tune the Llama-2 7B Chat model for Python code generation using advanced […]
Meet ZebraLogic: A Comprehensive AI Evaluation Framework for Assessing LLM Reasoning Performance on Logic Grid Puzzles Derived from Constraint Satisfaction Problems (CSPs)
Logical reasoning remains a crucial area where AI systems struggle despite advances in processing language and knowledge. Understanding logical reasoning […]
ACECODER: Enhancing Code Generation Models Through Automated Test Case Synthesis and Reinforcement Learning
Code generation models have made remarkable progress through increased computational power and improved training data quality. State-of-the-art models like Code-Llama, […]
Feds putting the kibosh on national EV charging program
“There is no legal basis for funds that have been apportioned to states to build projects being ‘decertified’ based on […]
IBM AI Releases Granite-Vision-3.1-2B: A Small Vision Language Model with Super Impressive Performance on Various Tasks
The integration of visual and textual data in artificial intelligence presents a complex challenge. Traditional models often struggle to interpret […]
Singapore University of Technology and Design (SUTD) Explores Advancements and Challenges in Multimodal Reasoning for AI Models Through Puzzle-Based Evaluations and Algorithmic Problem-Solving Analysis
After the success of large language models (LLMs), the current research extends beyond text-based understanding to multimodal reasoning tasks. These […]
Process Reinforcement through Implicit Rewards (PRIME): A Scalable Machine Learning Framework for Enhancing Reasoning Capabilities
Reinforcement learning (RL) for large language models (LLMs) has traditionally relied on outcome-based rewards, which provide feedback only on the […]