Microsoft Introduces Phi Silica: A 3.3 Billion Parameter AI Model Transforming Efficiency and Performance in Personal Computing

The text explores SAC’s groundbreaking role as a data-driven social enterprise. For more information, kindly refer to the full article on Towards Data Science.

A study compares vision models on non-standard metrics beyond ImageNet. Models like ConvNet and ViT, trained using supervised and CLIP methods, are examined. Different models show varied strengths, which a single statistic cannot fully measure. This…

This article discusses the process of fine tuning language models for Named Entity Recognition. It can be found on Towards Data Science.

Challenges in Current AI Animation Models Current AI models for human animation face several issues, including: Motion Realism: Many struggle to create realistic and fluid body movements. Adaptability: Existing models often rely on limited training datasets,…

MiniChain, a compact Python library, revolutionizes prompt chaining for large language models (LLMs). It simplifies the process by encapsulating prompt chaining essence, offers streamlined annotation, visualizing chains, efficient state management, separation of logic and prompts, flexible…

This week’s AI news roundup includes highlights such as the UK AI Safety Summit, the release of President Biden’s executive order on AI, the potential for unregulated AI development on the high seas, and Big Tech’s…

Fei-Fei Li, co-director of Stanford’s Human-Centered AI Institute, believes we are in an inflection moment for AI. Generative AI has caused the public to wake up to AI technology, leading to more businesses implementing AI in…

Reka’s state-of-the-art multimodal and multilingual language model, Reka Flash, performs exceptionally on various benchmarks of LLM with just 7B trainable parameters. It competes with leading models on language and vision tasks. Reka Edge, with limited resources,…

Practical Solutions and Value of AI Models Safety Ensuring Safe Use of Language Models When faced with unsafe prompts, such as requests for harmful information, language models undergo reinforcement learning to refuse to respond. This is…

Google DeepMind researchers have introduced Chain-of-Thought (CoT) decoding, an innovative method that leverages the inherent reasoning capabilities within pre-trained large language models (LLMs). CoT decoding diverges from traditional prompting techniques, enabling LLMs to autonomously generate coherent…

Practical Solutions for Automated Data-Driven Discovery with LLMs Introduction Scientific discovery has relied on manual processes, but large language models (LLMs) offer new possibilities for autonomous discovery systems. The challenge is to develop fully autonomous systems…

Enhancing Neural Network Generalization with Outlier Suppression Loss A research study from BayzAI.com, Volkswagen Group of America, and IECC addresses the challenge of training neural networks to accurately represent the distributional properties of a dataset without…

Mixture-of-Experts Models and Load Balancing Practical Solutions and Value Mixture-of-experts (MoE) models are crucial for large language models (LLMs), handling diverse and complex tasks efficiently in natural language processing (NLP). Load imbalance among experts is a…

A remarkable trend in the quickly developing field of artificial intelligence Practical Solutions and Value: Researchers and scholars project a future where conventional front-end applications will become outdated. Large language models’ (LLMs’) capabilities and the emergence…

Google’s Pixel 8 and Pixel 8 Pro smartphones offer AI-powered image editing capabilities, allowing users to refine facial expressions and edit features in photos. The AI can blend facial expressions from other images in the camera…

Researchers have developed a few-shot-based tuning framework called LAMP for text-to-video (T2V) generation. Existing methods for T2V either require extensive data or result in aligning with template videos. LAMP addresses this challenge by using a few-shot…

30+ AI Tools For Startups in 2024 Discover how AI can redefine your company’s way of work. Identify Automation Opportunities: Locate key customer interaction points that can benefit from AI. Define KPIs: Ensure your AI endeavors…

Relari, a start-up, addresses the challenge of inadequate data for Generative AI testing. By providing a platform to create synthetic datasets and stress test AI models, it aims to improve trustworthiness and accuracy. YCombinator backs Relari,…

Understanding Multimodal Large Language Models (MLLMs) Multimodal large language models (MLLMs) are a promising step towards achieving artificial general intelligence. They combine different types of sensory information into one system. However, they struggle with basic vision…