​[[{“value”:” OpenAI has recently announced the development of SearchGPT, a groundbreaking prototype that revolutionizes how users search for information online. This new AI-driven search feature combines the strengths of OpenAI’s conversational models with real-time web data, promising to deliver fast, accurate, and contextually relevant answers.… Read More »OpenAI Announces SearchGPT Prototype: An AI-Powered Search Engine Transforming Web Searches with Real-time Information and Enhanced Conversational AI Capabilities Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Designing computational workflows for AI applications, such as chatbots and coding assistants, is complex due to the need to manage numerous heterogeneous parameters, such as prompts and ML hyper-parameters. Post-deployment errors require manual updates, adding to the challenge. The study explores optimization problems aimed… Read More »Microsoft and Stanford University Researchers Introduce Trace: A Groundbreaking Python Framework Poised to Revolutionize the Automatic Optimization of AI Systems Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) are a subset of artificial intelligence focusing on understanding and generating human language. These models leverage complex architectures to comprehend and produce human-like text, facilitating applications in customer service, content creation, and beyond. A major challenge with LLMs is their… Read More »This AI Paper from China Introduces KV-Cache Optimization Techniques for Efficient Large Language Model Inference Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the rapidly evolving field of natural language processing (NLP), integrating external knowledge bases through Retrieval-Augmented Generation (RAG) systems represents a significant leap forward. These systems leverage dense retrievers to pull relevant information, which large language models (LLMs) then utilize to generate responses. However,… Read More »Is the Future of Agentic AI Personal? Meet PersonaRAG: A New AI Method that Extends Traditional RAG Frameworks by Incorporating User-Centric Agents into the Retrieval Process Shreya Maji Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The number of academic papers released daily is increasing, making it difficult for researchers to track all the latest innovations. Automating the data extraction process, especially from tables and figures, can allow researchers to focus on data analysis and interpretation rather than manual data… Read More »TFT-ID (Table/Figure/Text IDentifier): An Object Detection AI Model Finetuned to Extract Tables, Figures, and Text Sections in Academic Papers Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Developing AI agents that can autonomously perform a wide variety of tasks with the same flexibility and capability as human software developers presents a significant challenge. These tasks include writing and executing code, interacting with command lines, and browsing the web. Current AI agents… Read More »OpenDevin: An Artificial Intelligence Platform for the Development of Powerful AI Agents that Interact in Similar Ways to Those of a Human Developer Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The rapid advancements in Generative AI have underscored the importance of text embeddings. These embeddings transform textual data into dense vector representations, enabling models to efficiently process text, images, audio, and other data types. Various embedding libraries have emerged as front-runners in this domain,… Read More »A Comparison of Top Embedding Libraries for Generative AI Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Reinforcement Learning (RL) finetuning is an important step in training language models (LMs) to behave in specific ways and follow human etiquette. In today’s applications, RL finetuning involves multiple goals due to various human preferences and uses. The multi-objective finetuning (MOFT) is needed to… Read More »This Paper from Google DeepMind Presents Conditioned Language Policies (CLP): A Machine Learning Framework for Finetuning Language Models on Multiple Objectives Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Parameter-efficient fine-tuning (PEFT) methods have become essential in machine learning. They allow large models to adapt to new tasks without extensive computational resources. By fine-tuning only a small subset of parameters while keeping most of the model frozen, PEFT methods aim to make the… Read More »LoRA-Pro: A Groundbreaking Machine Learning Approach to Bridging the Performance Gap Between Low-Rank Adaptation and Full Fine-Tuning Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Recent advancements in LLM capabilities have increased their usability by enabling them to do a broader range of general activities autonomously. The existing methods for expressing and running LM programs could be more efficient, although they are widely used. There are two main obstacles… Read More »SGLang: A Structured Generation Language for Efficient Execution of Complex Language Model Programs Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost