Microsoft Research Introduces Gigapath: A Novel Vision Transformer For Digital Pathology

Advancements in Language Models and Evaluation Understanding the Progress Large Language Models (LLMs) have improved significantly, especially in handling longer texts. This means they can provide more accurate and relevant responses by considering more information. With…

The TEXT2REWARD framework is introduced by researchers from several universities and Microsoft Research. It aims to create dense reward code for reinforcement learning (RL) based on goal descriptions. By using large language models, TEXT2REWARD generates symbolic…

The UK’s National Cyber Security Centre (NCSC) released a report on the impact of AI on cyber threats. The report highlights AI’s dual role in cyber security as both beneficial for defense and a potential risk…

Enhancing Knowledge Retrieval with HtmlRAG What is HtmlRAG? HtmlRAG is a new method that improves Retrieval-Augmented Generation (RAG) systems by using HTML instead of plain text. This approach helps maintain important structural and semantic information that…

Foundation Models and Practical AI Solutions Foundation models enable complex tasks like natural language processing and image recognition by leveraging large datasets and intricate neural networks. They revolutionize AI by providing more accurate and sophisticated analysis…

Practical AI Solutions for Improving Large Language Model Reasoning Challenge in Enhancing LLMs’ Reasoning Abilities Enhancing reasoning abilities of Large Language Models (LLMs) for complex logical and mathematical tasks remains a challenge due to the lack…

Coscientist is an advanced AI lab partner that autonomously plans and executes chemistry experiments, showcasing rapid learning and proficiency in chemical reasoning, utilization of technical documents, and adept self-correction.

Spoken Term Detection (STD) Overview Spoken Term Detection (STD) helps identify specific phrases in large audio collections. It’s used in voice searches, transcription services, and multimedia indexing, making audio data easier to access and use. This…

Anthropic, the company behind the AI chatbot Claude, conducted an experiment involving around 1,000 Americans to explore the idea of letting ordinary people shape the rules that govern AI behavior. By allowing public input, Anthropic aims…

Retrieval-augmented generation (RAG) in Artificial Intelligence RAG is a cutting-edge AI technique that combines retrieval-based approaches with generative models to create high-quality, contextually relevant responses by leveraging vast datasets. It significantly improves the performance of virtual…

This text is about using Python to analyze the geospatial data from the International Union for Conservation of Nature (IUCN).

Large language models (LLMs) have impressive capabilities in generating response but are also known for generating non-factual statements or hallucinations. Detecting hallucinations is challenging due to the lack of ground truth context. A possible solution, called…

Practical AI Solutions with Llama-Deploy Introduction The llama-deploy solution simplifies the deployment of AI-driven agentic workflows, making it easier to scale and deploy them as microservices. This practical solution bridges the gap between development and production,…

ESBMC-Python: The First BMC-based Python-code Verifier Practical Solutions and Value Formal verification is crucial in software engineering to ensure program correctness through mathematical proof. One widely used technique for this purpose is bounded model checking (BMC),…

Bioptimus Unveils H-optimus-0: A New State-of-the-Art Open-Source Foundation AI Model for Pathology Bioptimus, a French startup, has introduced H-optimus-0, a groundbreaking AI model designed for pathology. This open-source model is the world’s largest, with 1.1 billion…