Meet Hawkish 8B: A New Financial Domain Model that can Pass CFA Level 1 and Outperform Meta Llama-3.1-8B-Instruct in Math & Finance Benchmarks

Practical Solutions for Constructing Knowledge Graphs Challenges in Knowledge Graph Construction Constructing Knowledge Graphs (KGs) from unstructured data is challenging due to the complexities of extracting and structuring meaningful information from raw text. Unstructured data often…

Researchers from Meta have introduced Retrieval-Augmented Dual Instruction Tuning (RA-DIT), a lightweight fine-tuning methodology to equip large language models (LLMs) with efficient retrieval capabilities. RA-DIT operates through two stages, optimizing the LLM’s use of retrieved information…

Understanding the Target Audience for VeBrain The primary audience for VeBrain includes AI researchers, robotics engineers, and tech industry leaders. These professionals are in search of innovative solutions to enhance the capabilities of robots across various…

Understanding Vision-Language Models (VLMs) Vision-language models (VLMs) aim to connect image understanding with natural language processing. However, they face challenges like: Image Resolution Variability: Inconsistent image resolutions can hinder performance. Contextual Nuance: Difficulty in capturing complex…

The Value of Turing-Complete-RAG (TC-RAG) in Medical LLMs Enhancing Medical Practice with Advanced Language Models The field of large language models (LLMs) has rapidly evolved, particularly in specialized domains like medicine, where accuracy and reliability are…

Griffon v2 is a high-resolution multimodal perception model designed to improve object referring via textual and visual cues. It overcomes resolution constraints by introducing a downsampling projector and visual-language co-referring capabilities, resulting in superior performance in…

In the digital age, software interfaces are crucial for technology interaction. However, tasks’ complexity and repetitiveness hinder efficiency and inclusivity. Automating tasks through UI assistants, like WorkArena and BrowserGym, leveraging large language models, aims to streamline…

Challenges of Handling PII in Large Language Models Managing personally identifiable information (PII) in large language models (LLMs) poses significant privacy challenges. These models are trained on vast datasets that may contain sensitive information, leading to…

Scientists at the McGovern Institute for Brain Research at MIT, the Broad Institute of MIT and Harvard, and the National Center for Biotechnology Information have developed a new search algorithm called FLSHclust that allows for more…

Stability AI’s SDXL Turbo utilizes Adversarial Diffusion Distillation (ADD) for rapid, high-fidelity text-to-image synthesis, outperforming multi-step models with a single-step process, detailed in their research paper. It’s demonstrated in real-time on Clipdrop and hailed for its…

Practical Solutions and Value of Source-Disentangled Neural Audio Codec (SD-Codec) Revolutionizing Audio Compression Neural audio codecs convert audio signals into tokens, improving compression efficiency without compromising quality. Challenges Addressed Existing models struggle to differentiate between different…

The winners of Streamlit’s LLM Hackathon have been announced for building the most interesting Clarifai projects.

CopilotKit: Your Gateway to AI Integration CopilotKit is an open-source framework that makes it easy to add AI capabilities to your applications. With this tool, developers can quickly create interactive AI features, from simple chatbots to…

Understanding Instruction-Following Pruning (IFPruning) What are Large Language Models (LLMs)? LLMs are powerful tools used for tasks like language processing, math calculations, and programming. However, they need a lot of computing power, making them less efficient.…

GeFF, or Generalizable Neural Feature Fields, is revolutionizing robotics. It enables robots to perceive and interact with their environment in a sophisticated, human-like manner, using rich visual and linguistic cues to understand and navigate complex spaces.…

Language models like GPT-4 are powerful but sometimes produce inaccurate outputs. Stanford and OpenAI researchers have introduced “meta-prompting,” enhancing these models’ capabilities. It involves breaking down complex tasks for specialized “expert” models within the LM framework.…

Duck AI’s DuckTrack is an advanced tool for tracking user interactions, vital for training intelligent systems. It records various inputs including mouse and keyboard actions and integrates with major operating systems. While it faces challenges with…