​[[{“value”:” There is a need to build systems that can respond to user inputs, remember past interactions, and make decisions based on that history. This requirement is crucial for creating applications that behave more like intelligent agents, capable of maintaining a conversation, remembering past context,… Read More »Meet LangGraph: An AI Library for Building Stateful, Multi-Actor Applications with LLMs Built on Top of LangChain Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” With the growth of trending AI applications, Machine Learning ML models are being used for various purposes, leading to an increase in the advent of multimodal models. Multimodal models are very useful, and researchers are putting a lot of emphasis on these nowadays as… Read More »Adept AI Introduces Fuyu-Heavy: A New Multimodal Model Designed Specifically for Digital Agents Rachit Ranjan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large-scale multilingual language models are the foundation of many cross-lingual and non-English Natural Language Processing (NLP) applications. These models are trained on massive volumes of text in multiple languages. However, the drawback to their widespread use is that because numerous languages are modeled in… Read More »This AI Paper from the University of Washington Proposes Cross-lingual Expert Language Models (X-ELM): A New Frontier in Overcoming Multilingual Model Limitations Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In language model alignment, the effectiveness of reinforcement learning from human feedback (RLHF) hinges on the excellence of the underlying reward model. A pivotal concern is ensuring the high quality of this reward model, as it significantly influences the success of RLHF applications. The… Read More »This AI Paper from ETH Zurich, Google, and Max Plank Proposes an Effective AI Strategy to Boost the Performance of Reward Models for RLHF (Reinforcement Learning from Human Feedback) Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Language models (LMs), such as GPT-4, are at the forefront of natural language processing, offering capabilities that range from crafting complex prose to solving intricate computational problems. Despite their advanced functionalities, these models need fixing, sometimes yielding inaccurate or conflicting outputs. The challenge lies… Read More »Researchers from Stanford and OpenAI Introduce ‘Meta-Prompting’: An Effective Scaffolding Technique Designed to Enhance the Functionality of Language Models in a Task-Agnostic Manner Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Developing foundation models like Large Language Models (LLMs), Vision Transformers (ViTs), and multimodal models marks a significant milestone. These models, known for their versatility and adaptability, are reshaping the approach towards AI applications. However, the growth of these models is accompanied by a considerable… Read More »This Machine Learning Survey Paper from China Illuminates the Path to Resource-Efficient Large Foundation Models: A Deep Dive into the Balancing Act of Performance and Sustainability Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The spread of false information is an issue that has persisted in the modern digital era. The lowering of content creation and sharing barriers brought about by the explosion of social media and online news outlets has had the unintended consequence of speeding up… Read More »This AI Report from the Illinois Institute of Technology Presents Opportunities and Challenges of Combating Misinformation with LLMs Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In a significant stride towards advancing Python-based conversational AI development, the Quarkle development team recently unveiled “PriomptiPy,” a Python implementation of Cursor’s innovative Priompt library. This release marks a pivotal moment for developers as it extends the cutting-edge features of Cursor’s stack to all… Read More »Meet PriomptiPy: A Python Library to Budget Tokens and Dynamically Render Prompts for LLMs Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” A key challenge in text-to-music generation using diffusion models is controlling pre-trained text-to-music diffusion models at inference time. While effective, these models can only sometimes produce fine-grained and stylized musical outputs. The difficulty stems from their complexity, which usually requires sophisticated techniques for fine-tuning… Read More »This AI Paper from Adobe and UCSD Presents DITTO: A General-Purpose AI Framework for Controlling Pre-Trained Text-to-Music Diffusion Models at Inference-Time via Optimizing Initial Noise Latents Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Recent advancements in generative models for text-to-image (T2I) tasks have led to impressive results in producing high-resolution, realistic images from textual prompts. However, extending this capability to text-to-video (T2V) models poses challenges due to the complexities introduced by motion. Current T2V models face limitations… Read More »Google AI Presents Lumiere: A Space-Time Diffusion Model for Video Generation Mohammad Asjad Artificial Intelligence Category – MarkTechPost