Chat with Your Dataset using Bayesian Inferences.

A safety mitigation stack was created for the wider release of DALL·E 3. Updates on provenance research will be shared.

T-Stitch is a novel technique revolutionizing AI image generation by effectively combining smaller, efficient diffusion probabilistic models (DPMs) with larger models to enhance speed without compromising quality. It benefits from extensive experiments demonstrating its effectiveness across…

AI Challenges and Solutions Despite advancements in natural language processing, AI systems often struggle with complex reasoning, particularly in areas like mathematics and coding. These challenges include issues with multi-step logic and limitations in common-sense reasoning,…

Importance of Quality Educational Resources Access to high-quality educational resources is essential for both learners and educators. Mathematics, often seen as a difficult subject, needs clear explanations and well-organized materials to enhance learning. However, creating and…

In November 2022, OpenAI’s ChatGPT saw rapid growth, reaching a million users in 5 days, then soaring to 100 million by January 2023. In April 2023, the user count hit 173 million, with over 1.5 billion…

Embedić: Revolutionizing Serbian Language Processing Key Highlights: – Novak Zivanic introduces Embedić, a suite of Serbian text embedding models. – Models optimized for Information Retrieval and Retrieval-Augmented Generation (RAG) tasks. – Efficient smallest model surpasses previous…

Practical Solutions and Value of WordLlama on Hugging Face Vision Behind WordLlama WordLlama offers a highly efficient and accessible tool for various NLP applications, bridging the gap between AI research and real-world use. Hugging Face as…

Kili Technology’s Report on AI Vulnerabilities Understanding AI Language Model Vulnerabilities Kili Technology has released a report that reveals serious weaknesses in AI language models. These models are vulnerable to attacks that use misleading patterns, making…

Practical AI Solutions with FlashAttention and INT-FlashAttention FlashAttention for Efficient Attention Mechanism FlashAttention optimizes attention computations by utilizing GPU memory hierarchy, resulting in faster performance and less memory overhead. Combining Quantization with FlashAttention Quantization methods like…

Recent advancements in large language models (LLMs) like Chat-GPT and LLaMA-2 have led to an exponential increase in parameters, posing challenges in inference delay. To address this, Intellifusion Inc. and Harbin Institute of Technology propose Bi-directional…

Meta Presents Sapiens: Foundation for Human Vision Models Introduction Large-scale pretraining followed by task-specific fine-tuning has transformed language modeling and is now revolutionizing computer vision. Notable models such as DINOv2, MAWS, and AIM have made significant…

LLama.cpp is an open-source library designed to efficiently deploy large language models (LLMs). It optimizes inference speed and reduces memory usage through techniques like custom integer quantization, multi-threading, and batch processing, achieving remarkable performance. With cross-platform…

The text discusses the introduction of multi-query attention (MQA) in large language models to expedite decoder inference, addressing the trade-offs in efficiency and quality. It emphasizes the benefits of uptraining language model checkpoints using MQA and…

Summary: The article discusses the challenges of running machine learning inference at scale and introduces Hugging Face’s new Candle Framework, designed for efficient and high-performing model serving in Rust. It details the process of implementing a…

Bayesian Optimization for Preference Elicitation with Large Language Models Helping users find their preferred items through natural language dialogues is a challenge. Traditional methods are inefficient, especially when users are unfamiliar with most items. Large language…

Character-LLM is a trainable agent designed to simulate specific individuals, such as Beethoven, Queen Cleopatra, and Julius Caesar, by editing profiles and training models. Researchers in China introduced a training framework involving Experience Reconstruction, Upload, and…

LaVie is a new video generation framework that aims to synthesize visually realistic and temporally coherent videos using text inputs. It incorporates simple temporal self-attention and joint image-video fine-tuning to enhance the quality and creativity of…

This article discusses how to add hidden text and messages in AI images. It covers two methods: using the Hugging Face platform and using Stable Diffusion. The article provides step-by-step instructions for each method, including choosing…