NVIDIA AI Research Proposes Language Instructed Temporal-Localization Assistant (LITA), which Enables Accurate Temporal Localization Using Video LLMs Mohammad Asjad Artificial Intelligence Category – MarkTechPost

[[{“value”:” Large Language Models (LLMs) have proven their impressive instruction-following capabilities, and they can be a universal interface for various tasks such as text generation, language translation, etc. These models can be extended to multimodal LLMs to process language and other modalities, such as Image,… Read More »NVIDIA AI Research Proposes Language Instructed Temporal-Localization Assistant (LITA), which Enables Accurate Temporal Localization Using Video LLMs Mohammad Asjad Artificial Intelligence Category – MarkTechPost

Top Ten Python Libraries for Machine Learning and Deep Learning in 2024 Adnan Hassan Artificial Intelligence Category – MarkTechPost

[[{“value”:” In 2024, the landscape of Python libraries for machine learning and deep learning continues to evolve, integrating more advanced features and offering more efficient and easier ways to build, train, and deploy models. Below are the top ten Python libraries that stand out in… Read More »Top Ten Python Libraries for Machine Learning and Deep Learning in 2024 Adnan Hassan Artificial Intelligence Category – MarkTechPost

[[{“value”:” In the evolving field of Retrieval-Augmented Generation (RAG), the quest for refining question-answering (QA) capabilities remain at the forefront of research. Integrating external knowledge bases with large language models (LLMs) has unlocked new avenues for enhancing the accuracy of responses in various tasks. However,… Read More »Adaptive-RAG: Enhancing Large Language Models by Question-Answering Systems with Dynamic Strategy Selection for Query Complexity Adnan Hassan Artificial Intelligence Category – MarkTechPost

[[{“value”:” Vision Language Models (VLMs) emerge as a result of a unique integration of Computer Vision (CV) and Natural Language Processing (NLP). This integration seeks to mimic human-like understanding by interpreting and generating content that marries images with words, giving rise to a complex challenge… Read More »Mini-Gemini: A Simple and Effective Artificial Intelligence Framework Enhancing multi-modality Vision Language Models (VLMs) Nikhil Artificial Intelligence Category – MarkTechPost

[[{“value”:” Language models (LMs) have proven their remarkable effectiveness in generating coherent and fluent continuations of a prompt or document prefix. In the text generation step, they mostly rely on two sources of knowledge: (1) prior knowledge, which is learned during pretraining and stored implicitly… Read More »Researchers from the University of Washington and Meta AI Present a Simple Context-Aware Decoding (CAD) Method to Encourage the Language Model to Attend to Its Context During Generation Mohammad Asjad Artificial Intelligence Category – MarkTechPost

[[{“value”:” In the ever-evolving landscape of artificial intelligence, the quest for more advanced and capable language models has been a driving force. Researchers at Shanghai AI Laboratory, SenseTime Group, The Chinese University of Hong Kong, and Fudan University have unveiled InternLM2, a remarkable open–source achievement… Read More »This AI Paper Introduces InternLM2: An Open-Source Large Language Model LLM that Demonstrates Exceptional Performance in both Subjective and Objective Evaluations Vineet Kumar Artificial Intelligence Category – MarkTechPost

[[{“value”:” Large Language Models (LLMs) are now a crucial component of innovation, with ChatGPT being one of the most popular ones developed by OpenAI. Its ability to generate text responses resembling human-like language has become essential for various applications such as chatbots, content creation, and… Read More »How to Use Prompt Engineering in ChatGPT? Key Insights and Tips Adnan Hassan Artificial Intelligence Category – MarkTechPost

[[{“value”:” Integrating artificial intelligence (AI) into applications has become necessary for developers looking to stay ahead. However, making AI work seamlessly with web and mobile platforms takes work. Issues such as compatibility across different devices, the need for efficient computation without draining resources, and the… Read More »Meet Ratchet: A Web-First, Cross-Platform Machine Learning Developer Toolkit Niharika Singh Artificial Intelligence Category – MarkTechPost

[[{“value”:” The digital age has been significantly marked by the advent and evolution of Large Language Models (LLMs), which have become cornerstones in developing applications that require nuanced understanding and generation of human-like text. The exponential growth of these models, with Hugging Face listing a… Read More »RouterBench: A Novel Machine Learning Framework Designed to Systematically Assess the Efficacy of LLM Routing Systems Sana Hassan Artificial Intelligence Category – MarkTechPost