​[[{“value”:” Large Language Models (LLMs) have made significant advances in the field of Information Extraction (IE). Information extraction is a task in Natural Language Processing (NLP) that involves identifying and extracting specific pieces of information from text. LLMs have demonstrated great results in IE, especially… Read More »TransFusion: An Artificial Intelligence AI Framework To Boost a Large Language Model’s Multilingual Instruction-Following Information Extraction Capability Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Managing multiple agents in an AI system can be quite challenging. Each agent must communicate effectively, execute tasks reliably, and scale efficiently. This complex process often requires a robust framework to ensure smooth agent interaction and coordination. The available frameworks often fall short regarding… Read More »Llama-Agents: A New Open-Source AI Framework that Simplifies the Creation, Iteration, and Deployment of Multi-Agent AI Systems Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In recent years, the proliferation of generative AI technologies has led to the development of various user interfaces that harness the power of AI to enhance productivity, creativity, and user interaction. These interfaces are becoming increasingly sophisticated, providing users new ways to engage with… Read More »7 Emerging Generative AI User Interfaces: How Emerging User Interfaces Are Transforming Interaction Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have gained significant prominence in the AI industry, revolutionizing various applications such as chat, programming, and search. However, the efficient serving of multiple LLMs has emerged as a critical challenge for endpoint providers. The primary issue lies in the substantial… Read More »MuxServe: A Flexible and Efficient Spatial-Temporal Multiplexing System to Serve Multiple LLMs Concurrently Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The paper addresses the challenge of ensuring that large language models (LLMs) generate accurate, credible, and verifiable responses by correctly citing reliable sources. Existing methods often need help with errors and hallucinations, leading to incorrect or misleading information in generated responses. This research aims… Read More »CaLM: Bridging Large and Small Language Models for Credible Information Generation Shreya Maji Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Broadly neutralizing antibodies (bNAbs) are key in combating HIV-1. They target the virus’s envelope proteins and show promise in reducing viral loads and preventing infection. Despite their potential, identifying bNAbs remains labor-intensive, involving B-cell isolation and high-throughput next-generation sequencing. Only 255 bNAbs are known,… Read More »Innovative Machine Learning-Driven Discovery of Broadly Neutralizing Antibodies Against HIV-1 Using the RAIN Computational Pipeline Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have become fundamental tools in natural language processing, significantly advancing tasks such as translation, summarization, and creative text generation. Their ability to generate coherent and contextually relevant text based on human instructions makes them valuable across various applications. These models… Read More »Researchers at UCLA Propose Ctrl-G: A Neurosymbolic Framework that Enables Arbitrary LLMs to Follow Logical Constraints Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the AI world, a new startup has emerged with the potential to reshape multilingual models, particularly in underserved regions. Two AI has launched SUTRA, a language model designed to be proficient in over 30 languages, including many South Asian languages such as Gujarati,… Read More »Two AI Releases SUTRA: A Multilingual AI Model Improving Language Processing in Over 30 Languages for South Asian Markets Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Hugging Face has announced the release of Transformers version 4.42, which brings many new features and enhancements to the popular machine-learning library. This release introduces several advanced models, supports new tools and retrieval-augmented generation (RAG), offers GGUF fine-tuning, and incorporates a quantized KV cache,… Read More »Transformers 4.42 by Hugging Face: Unleashing Gemma 2, RT-DETR, InstructBlip, LLaVa-NeXT-Video, Enhanced Tool Usage, RAG Support, GGUF Fine-Tuning, and Quantized KV Cache Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial Intelligence (AI) systems are rigorously tested before they are released to determine whether they can be used for dangerous activities like bioterrorism, manipulation, or automated cybercrimes. This is especially crucial for powerful AI systems, as they are programmed to reject commands that can… Read More »This AI Paper from UC Berkeley Research Highlights How Task Decomposition Breaks the Safety of Artificial Intelligence (AI) Systems, Leading to Misuse Tanya Malhotra Artificial Intelligence Category – MarkTechPost