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Sound familiar? Your days are filled with nonstop meetings. You need every meeting to drive progress, but too often they meander with no clear outcome. Fellow ensures every meeting stays focused and impactful by creating agendas, taking notes, and following up on action items.
Stability AI has announced Stable Diffusion 3, a Diffusion Transformer similar to Sora from OpenAI. The company trained a suite of models ranging from 800m to 8B parameters, a substantial leap in size from previous image generation models. The models will be released after a period of research.
Sierra aims to revolutionize customer interactions with brands through AI agents, positing conversational AI as an essential new technology category for all aspects of customer experience.
Phind's 70B code model scores 83% on HumanEval, matching GPT-4 performance. Crucially it has significantly fewer lazy responses and refusals. The 34B model will be released soon - the larger 70B model will be released in time.
GradSafe is a new method for detecting unsafe prompts in large language models without extensive training. It can identify unsafe prompts more effectively than current methods by analyzing the gradients of specific parameters.
Class-Aware Mask-guided (CAM) feature refinement is a new method that enhances text recognition in complex scenes.
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The third annual Semantic Layer Summit [15] is happening this April! This free, one-day virtual event features some of the top voices in enterprise analytics, BI, and genAI — including leading technical leaders at Mode, Netflix, T-Mobile, and AtScale.
This codebase allows for inference on SIMD CPU architectures, similar to llama.cpp. It was developed by Google engineers and scientists. The tool's purpose is to encourage experimentation and usage of the Gemma models released yesterday.
MMedLM 2 is a groundbreaking multilingual language model tailored for the medical field. It is trained on a new 25.5 billion-token corpus that covers six languages. MMedLM 2 outperforms other models, including GPT-4, in medical question-answering tasks.
A new method for object recognition using a language decoder. The method involves predicting text tokens from image embeddings and utilizing a specialized non-causal attention mask. It enables efficient parallel sampling of multiple labels.
Mozilla acted as a scalable evaluator for the efficiency challenge hosted last year. It ensured that entrants complied with the rules of the competition and evaluated model performance. This post is a good introduction to language model evaluation and competitive training recipes.
FunSearch, introduced in a recent Nature paper, is a method that uses large language models to make new discoveries in mathematics and computer science. It pairs a creative LLM with an evaluator to produce verifiable solutions, demonstrating success with the tough cap set and bin-packing problems. The approach yields human-interpretable solutions, marking a significant step in AI-driven scientific discovery.
Vector search company Marqo raised $12.5M in a Series A funding round led by Lightspeed to advance the adoption of its next-generation vector search platform. Marqo’s platform unlocks the massive value of unstructured data across business-critical applications like end-user search, retrieval-augmented generation, and more, helping enterprises realize the full potential of AI.
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Learn how WellSaid Labs created a novel respelling system that enables users to turn text into more realistic, human-sounding voices
The World Volume-aware Multi-camera Driving Scene Generator (WoVoGen) is an innovative system designed to create realistic street-view videos for autonomous driving.
TIER leverages both text prompts and images generated from them to assess the quality of the generated images.
This article discusses evaluation metrics that rely on ground truth data. It explores general-purpose as well as RAG-specific evaluations. All metrics come with a Python implementation or a link to a Hugging Face model card.