marktechpost5d
Google DeepMind Introduces AlphaGeometry2: A Significant Upgrade to AlphaGeometry Surpassing the Average Gold Medalist in Solving Olympiad Geometry
The International Mathematical Olympiad (IMO) is a globally recognized competition that challenges high school students with complex mathematical problems. Among its four categories, geometry stands ...
marktechpost7d
Kyutai Releases Hibiki: A 2.7B Real-Time Speech-to-Speech and Speech-to-Text Translation with Near-Human Quality and Voice Transfer
Real-time speech translation presents a complex challenge, requiring seamless integration of speech recognition, machine translation, and text-to-speech synthesis. Traditional cascaded approaches ...
marktechpost7d
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. Traditional methods generally employ point ...
marktechpost1d
Large Language Model
Introduction In this tutorial, we will build an advanced AI-powered news agent that can search the web for the latest news on a given topic and summarize the results. This agent follows a structured ...
marktechpost6d
This AI Paper Introduces MaAS (Multi-agent Architecture Search): A New Machine Learning Framework that Optimizes Multi-Agent Systems
Large language models (LLMs) are the foundation for multi-agent systems, allowing multiple AI agents to collaborate, communicate, and solve problems. These agents use LLMs to understand tasks, ...
marktechpost7d
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 techniques such as QLoRA, gradient checkpointing, and supervised ...
marktechpost6d
Adaptive Inference Budget Management in Large Language Models through Constrained Policy Optimization
Large Language Models (LLMs) have demonstrated remarkable capabilities in complex reasoning tasks, particularly in mathematical problem-solving and coding applications. Research has shown a strong ...
marktechpost7d
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 compression techniques has become increasingly relevant. Low-bit ...
marktechpost5d
Efficient Alignment of Large Language Models Using Token-Level Reward Guidance with GenARM
Large language models (LLMs) must align with human preferences like helpfulness and harmlessness, but traditional alignment methods require costly retraining and struggle with dynamic or conflicting ...
marktechpost9d
Chain-of-Associated-Thoughts (CoAT): An AI Framework to Enhance LLM Reasoning
Large language models (LLMs) have revolutionized artificial intelligence by demonstrating remarkable capabilities in text generation and problem-solving. However, a critical limitation persists in ...
marktechpost8d
Optimizing Large Model Inference with Ladder Residual: Enhancing Tensor Parallelism through Communication-Computing Overlap
LLM inference is highly resource-intensive, requiring substantial memory and computational power. To address this, various model parallelism strategies distribute workloads across multiple GPUs, ...
marktechpost10d
4 Open-Source Alternatives to OpenAI’s $200/Month Deep Research AI Agent
Deep-Research is an iterative research agent that autonomously generates search queries, scrapes websites, and processes information using AI reasoning models. It aims to provide a structured approach ...