SmolTalk Released: The Dataset Recipe Behind the Best-in-Class Performance of SmolLM2

The Changing Business Landscape with AI Artificial intelligence (AI) is transforming how businesses handle sales and customer relationships. In 2024, AI is no longer just a futuristic idea; it is a vital tool for businesses. AI…

Path planning, a method used to find the best route from one point to another within a map, is often done through search-based planning techniques like A* search. Recent studies highlight the benefits of data-driven path…

Understanding the Target Audience for MiniCPM4 The audience for OpenBMB’s MiniCPM4 primarily includes AI developers, data scientists, and business managers who are keen on deploying AI solutions on edge devices. These professionals often work in sectors…

Addressing Transparency and Legal Compliance in AI Datasets Practical Solutions and Value Artificial intelligence (AI) relies on diverse datasets for training models, but issues arise with transparency and legal compliance. Unlicensed or poorly documented data in…

Understanding Disaggregated Systems Disaggregated systems are a modern architecture designed to handle the high demands of applications like social networks and databases. They work by pooling resources such as memory and CPUs from multiple machines, overcoming…

LaVie is a new video generation framework that aims to synthesize visually realistic and temporally coherent videos using text inputs. It incorporates simple temporal self-attention and joint image-video fine-tuning to enhance the quality and creativity of…

Understanding R-Zero: A Game-Changer in AI Training R-Zero is an innovative framework that redefines how we think about training AI systems, particularly large language models (LLMs). Traditional methods often rely on human-annotated datasets, which can be…

We are pleased to announce the appointment of the new Executive Director of the Frontier Model Forum, in collaboration with Anthropic, Google, and Microsoft. Additionally, we are launching a $10 million AI Safety Fund.

Introduction to GPT-5 OpenAI’s GPT-5 model has introduced several exciting capabilities that enhance its functionality and usability for developers. This guide will delve into these features, including the Verbosity parameter, Free-form Function Calling, Context-Free Grammar (CFG),…

Researchers at Renmin University of China propose approaches to enhance Large Language Models’ (LLMs) ability to process table data. They focus on instruction tuning, prompting, and agent-based methods to improve LLMs’ performance on table-related tasks. These…

Silent mistakes or harsh consequences can arise if not careful.

The Value of Language-Guided World Models (LWMs) in AI Practical Solutions and Advantages Large language models (LLMs) have gained attention in artificial intelligence for developing model-based agents. However, traditional models face limitations in human-AI communication. Language-guided…

Boston Dynamics’ robots, though appearing highly agile in videos, are still manually coded and struggle with new obstacles. However, researchers have used reinforcement learning to teach a robot, Cassie, dynamic movements without explicit training. This approach…

Large language models (LLMs) struggle with reliability and accuracy in unfamiliar contexts, presenting challenges in real-world applications. Addressing this, researchers introduced “SuperContext,” integrating supervised language models (SLMs) to enhance LLMs’ adaptability. Empirical studies show SuperContext significantly…

Understanding Small Language Models (SLMs) Introduction to SLMs Large language models (LLMs) like GPT-4 and Bard have transformed natural language processing, enabling text generation and problem-solving. However, their high costs and energy consumption limit access for…

Some LLMs may produce inaccurate responses due to hallucinations. Google DeepMind researchers propose FunSearch, a method to address this issue. It combines a pre-trained LLM with an evaluator to discover new knowledge by evolving low-scoring programs…

The Future of Language Models: UltraMem Revolutionizing Efficiency in AI Large Language Models (LLMs) have transformed natural language processing but are often held back by high computational requirements. Although boosting model size enhances performance, it can…