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

The study by Shanghai Jiao Tong University, Amazon, and Yale explores Chain-of-Thought reasoning in language models, examining its impact on the development and reliability of language agents. It investigates CoT techniques and verification methods, offering insights…

Advanced language models have transformed NLP, enhancing machine understanding and language generation. Researchers have played a significant role in this transformation, spurring various AI applications. Methodological innovations and efficient training have significantly improved language model efficiency.…

Google AI Releases Two Updated Production-Ready Gemini Models: Gemini-1.5-Pro-002 and Gemini-1.5-Flash-002 Key Enhancements – **Significant Benchmark Improvements**: Gemini models show impressive gains in various benchmarks. – **Production-Ready with Enhanced Scalability**: Models optimized for real-world deployment. –…

Understanding Large Language Models (LLMs) and In-Context Learning What are LLMs and ICL? Large Language Models (LLMs) are advanced AI tools that can learn and complete tasks by using a few examples provided in a prompt.…

Behavioral testing in NLP evaluates system capabilities by analyzing input-output behavior. However, current tests for Machine Translation are limited and manually created. To overcome this, our proposal suggests using Large Language Models (LLMs) to generate diverse…

The Value of NeMo-Aligner for Large Language Model Alignment The NeMo-Aligner tool from NVIDIA streamlines the training process for large-scale language models using reinforcement learning. This improves the efficiency of model alignment and enables the production…

Material scientists at the University of Rochester are using machine learning to expedite the discovery of new crystalline materials with specific properties. By automating the classification of materials based on X-ray diffraction patterns using convolutional neural…

DeepSwap is an AI-based tool that allows users to create convincing deepfake videos and images easily. Aragon uses AI technology to create professional headshots quickly. AdCreative.ai is an AI solution for boosting advertising and social media…

The article highlights the importance of data scientists in leveraging the potential of data in today’s data-driven world. Companies are recognizing the need for expert manpower and human intelligence to effectively utilize accumulated data. Data scientists…

Understanding Hallucinations in Language Models As language models improve, they are increasingly used for complex tasks like answering questions and summarizing information. However, with more challenging tasks comes a higher risk of errors, known as hallucinations.…

Practical AI Solutions for Optimizing Large Language Models (LLMs) Challenges in LLM Optimization Researchers face challenges in accelerating LLM generation speed and reducing GPU memory consumption for long-context inputs. Existing Techniques Previous methods focused on KV…

Understanding Graphical User Interfaces (GUIs) GUIs are everywhere, from computers to mobile devices, making it easy for users to interact with digital functions. However, automating these interactions can be challenging, especially for intelligent agents that need…

Challenges in Using LLMs for Mainframe Modernization: 1. Limited Training on Mainframe Languages: Existing large language models (LLMs) lack sufficient training on mainframe languages like COBOL, hindering their ability to understand and interact with legacy codebases.…

The complexities of unlocking the potential of Large Language Models (LLMs) for specific tasks pose a significant challenge due to their vastness and intricacies of training. Two main approaches for fine-tuning LLMs, full-model tuning (FMT) and…

Understanding the Challenge in Evaluating Vision-Language Models Evaluating vision-language models (VLMs) is complex because they need to be tested across many real-world tasks. Current benchmarks often focus on a limited range of tasks, which doesn’t fully…

On-device machine learning moves computation to personal devices, enhancing user privacy and experiences. However, optimizing models on limited resources poses challenges. To address this, Talaria, a model visualization and optimization system, aids in compiling models to…

Practical Solutions and Value of BOND: A Novel RLHF Method Enhancing Language Generation Quality Reinforcement learning from human feedback (RLHF) is crucial for ensuring quality and safety in language and learning models (LLMs). State-of-the-art LLMs like…

Understanding the Five Levels of Agentic AI Architectures This tutorial presents a structured exploration of five levels of Agentic AI architectures. These vary from basic prompt-response functions to advanced systems capable of fully autonomous code generation…