Meet BricksAI: An Open-Core AI Gateway that Helps Developers Implement All Essential Features Needed in Any GenAI Project

Incorporating ChatGPT into FAQ systems Benefits of AI-Powered FAQs for User Experience Improved Efficiency: AI-powered FAQs significantly reduce the time it takes for users to find the information they need. Enhanced User Engagement: ChatGPT’s conversational nature…

This paper discusses optimizing the execution of Large Language Models (LLMs) on consumer hardware. It introduces strategies such as parameter offloading, speculative expert loading, and MoE quantization to improve the efficiency of running MoE-based language models.…

Zyphra Unveils Zamba2-mini: A State-of-the-Art Small Language Model Redefining On-Device AI with Unmatched Efficiency and Performance State-of-the-Art Performance in a Compact Package Zyphra has released Zamba2-mini 1.2B, a small language model designed for on-device applications. It…

The Guardian has conducted an investigation into the use of AI and complex algorithms in the UK’s public sector decision-making processes. The findings reveal a chaotic and unsupervised application of these technologies across multiple departments, leading…

LongRoPE, a new approach by Microsoft Research, extends Large Language Models’ (LLMs) context window to an impressive 2 million tokens. This is achieved through an evolutionary search algorithm that optimizes positional interpolation, providing enhanced accuracy and…

Practical Solutions for Foundation Model Transparency Challenges in AI Transparency Foundation models lack transparency, hindering understanding and governance. Proposed Approach Implement Foundation Model Transparency Reports for standardized disclosure. Key Principles Consolidation, structured reporting, contextualization, independent specification,…

Rapid advancements in AI have led to the development of Large Language Models (LLMs) capable of human-like text generation. Concerns have arisen about these models learning dishonest tactics and their resistance to safety training methods. Researchers…

The Release of Reader-LM-0.5B and Reader-LM-1.5B by Jina AI Revolutionizing HTML-to-Markdown Conversion with Small Language Models The release of Reader-LM-0.5B and Reader-LM-1.5B by Jina AI marks a significant milestone in small language model (SLM) technology. These…

Oxford University and Harvard Medical School have developed an AI tool called EVEscape, which can predict new virus variants before they emerge. This tool could have accurately forecasted COVID-19 mutations if it was available earlier. EVEscape…

Practical AI Solutions for Contact-Rich Manipulation Tasks TRANSIC: A Human-in-the-Loop Method Researchers at Stanford University have proposed TRANSIC, a method to handle the sim-to-real transfer of policies for contact-rich manipulation tasks. This approach integrates a good…

Intent-based Prompt Calibration (IPC) automates prompt engineering by fine-tuning prompts based on user intention using synthetic examples, achieving superior results with minimal data and iterations. The modular approach allows for easy adaptation to various tasks and…

Russian President Putin faced an AI-generated deep fake version of himself during a public Q&A. The incident sparked amusement as the AI posed a question on twins and the dangers of AI. Deep fake technology targets…

Understanding Large Language Models (LLMs) Large Language Models (LLMs) are essential in today’s world, impacting various fields. They excel in many tasks but sometimes produce unexpected or unsafe responses. Ongoing research aims to better align LLMs…

Personalized Review Generation in Recommender Systems Practical Solutions and Value Personalized review generation within recommender systems is crucial for creating custom reviews based on users’ historical interactions and preferences. This enhances the overall effectiveness of recommender…

Understanding Temporal Dependencies in Procedural Texts Practical Solutions and Value Researchers have developed CAT-BENCH, a benchmark to evaluate advanced language models’ ability to predict the sequence of steps in cooking recipes. The study reveals challenges in…