​[[{“value”:” Meta researchers address the challenge of advancing machine intelligence(AMI) in understanding the real world by introducing V-JEPA, a model with joint embedding predictive architecture. It is a non-generative AI model designed to predict masked parts of videos. The model aims to improve the generalized… Read More »Meta AI Releases V-JEPA: An Artificial Intelligence Method for Teaching Machines to Understand and Model the Physical World by Watching Videos Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the evolving landscape of artificial intelligence, the challenge of enabling language models, specifically transformers, to effectively process and understand sequences of varying lengths has emerged as a critical area of research. The concept of length generalization plays a crucial role in various applications,… Read More »Transformers Reimagined: Google DeepMind’s Approach Unleashes Potential for Longer Data Processing Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Aligning large language models (LLMs) with human expectations and values is crucial for maximizing societal advantages. Reinforcement learning from human feedback (RLHF) was the initial alignment approach presented. It involves training a reward model (RM) using paired preferences and optimizing a policy using reinforcement… Read More »This AI Paper from Google AI Proposes Online AI Feedback (OAIF): A Simple and Effective Way to Make DAP Methods Online via AI Feedback Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial intelligence (AI) is witnessing an era where language models, specifically large language models (LLMs), are not just computational entities but active participants in the digital ecosystem. These models, through their interactions with the external world, be it querying APIs, generating content that influences… Read More »This AI Paper from UC Berkeley Explores the Potential of Feedback Loops in Language Models Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The capacity of infographics to strategically arrange and use visual signals to clarify complicated concepts has made them essential for efficient communication. Infographics include various visual elements such as charts, diagrams, illustrations, maps, tables, and document layouts. This has been a long-standing technique that… Read More »Google AI Introduces ScreenAI: A Vision-Language Model for User interfaces (UI) and Infographics Understanding Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) such as GPT, PaLM, and LLaMa have made major advancements in the field of Artificial Intelligence (AI) and Natural Language Processing (NLP) by enabling machines to comprehend and produce content that is similar to that of humans. These models possess… Read More »What is Fine Tuning and Best Methods for Large Language Model (LLM) Fine-Tuning Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Prompt engineering has burgeoned into a pivotal technique for augmenting the capabilities of large language models (LLMs) and vision-language models (VLMs), utilizing task-specific instructions or prompts to amplify model efficacy without altering core model parameters. These prompts range from natural language instructions that provide… Read More »Unlocking AI’s Potential: A Comprehensive Survey of Prompt Engineering Techniques Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Studying scaling laws in large language models (LLMs) is crucial for enhancing machine translation performance. Understanding these relationships is necessary for optimizing LLMs, enabling them to learn from vast datasets and improve in tasks such as language translation, thereby pushing the boundaries of what’s… Read More »Exploring the Scaling Laws in Large Language Models For Enhanced Translation Performance Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Reinforcement learning (RL) comprises a wide range of algorithms, typically divided into two main groups: model-based (MB) and model-free (MF) methods. MB algorithms rely on predictive models of environment feedback, termed world models, which simulate real-world dynamics. These models facilitate policy derivation through action… Read More »This AI Paper Introduces the Diffusion World Model (DWM): A General Framework for Leveraging Diffusion Models as World Models in the Context of Offline Reinforcement learning Mohammad Arshad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” CodeCompose, an AI-powered code authoring tool utilized by tens of thousands of developers at Meta, has undergone scaling from providing single-line to multiline suggestions. This transition involved addressing unique challenges to enhance usability. Initially, multi-line suggestions were found to disrupt workflow by constantly shifting… Read More »Meta AI Introduces Multi-Line AI-Assisted Code Authoring Janhavi Lande Artificial Intelligence Category – MarkTechPost