FAST VS. SLOW THINKING IN LANGUAGE MODELS
This project explores how different "thinking" approaches — fast (concise) versus slow (detailed, like chain-of-thought reasoning) — impact layer-wise gradients and stability in LLMs.
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This project explores how different "thinking" approaches — fast (concise) versus slow (detailed, like chain-of-thought reasoning) — impact layer-wise gradients and stability in LLMs.
ImOV3D is a framework that advances open-vocabulary 3D object detection (OV-3Det) by leveraging 2D images to overcome the scarcity of 3D annotations.
DEMO is a framework that separates text and conditioning into content and motion components. By using distinct encoders and conditioning for static content and dynamic motion, DEMO better interprets and generates motion from text prompts.
Project Sid shows civilizational progress, specialization, governance, and the invention and spread of memes and religion. These were made possible by Altera's new cognitive architecture: PIANO.
Google's corporate focus shift to AI has deprioritized Flutter's desktop platforms, creating a labor shortage for this once rapidly expanding UI toolkit. In response, a fork named Flock is being developed to include essential bug fixes and features the Flutter team can't tackle, aiming to accelerate Flutter's growth through community involvement. Flock plans to improve contribution processes and streamline PR reviews, bridging the gap in support and development pace left by the main Flutter team.
This article discusses using reinforcement learning from human feedback (RLHF) to develop a reward model that predicts upvote counts for Hacker News stories. Leveraging a comprehensive dataset and $4.80 of GPU time, the reward model was trained on features like titles, authors, and content to optimize for post quality, with the ultimate goal of utilizing RLHF techniques to enhance the creation of high-value content. The resulting model, while not perfect, can successfully identify underappreciated stories and predict potential front-page hits.
Google's AI Overviews are expanding to over 100 countries, offering AI-generated search summaries in multiple languages.
Elon Musk admitted Tesla's HW3 might not support full self-driving and that HW4 is significantly more capable.
xAI's Colossus is powered by NVIDIA's Spectrum-X Ethernet networking platform.
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Baseten's model performance engineers have built the world's fastest inference engine for Whisper, the best open-source audio transcription (speech-to-text) AI model.
ChatGPT can now search the web in a much better way than before. You can get fast, timely answers with links to relevant web sources, which you would have previously needed to go to a search engine for. This blends the benefits of a natural language interface with the value of up-to-date sports scores, news, stock quotes, and more.
This work includes several artifacts such as vision based tactical sensing, new hardware based touch sensors, and some interesting strategic partnerships in robotics.
xAI has enhanced its Grok AI model with image-understanding capabilities for paid users on X. The update allows users to upload images and query the AI about them. Future updates may include document understanding capabilities.
ODRL is the first standardized benchmark for evaluating reinforcement learning methods in environments with mismatched dynamics.
Researchers have developed a novel adapter method for text-to-image models, allowing them to handle intricate tasks like meme video generation while maintaining the base model's generalization strengths.
AnomalyNCD is a multi-class anomaly classification framework designed to complement traditional anomaly detection methods in industrial settings.
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Bot protection, user limits, PII detection, attack prevention. A developer-first approach to security.
Byte Level language models are a step towards a token free future. However, the sequence length issue is a huge challenge. Merge tokens dynamically to improve the number of tokens in context.
A new GPU-enabled implementation of Bayesian Additive Regression Trees (BART) that dramatically boosts its processing speed, making it up to 200 times faster than traditional CPU-based versions.
New pipelines (Flux, Stable Audio, Kolors, CogVideoX, Latte, and more), methods (FreeNoise and SparseCtrl), and refactors for the Hugging Face Diffusers package.
LLM As a Judge is a way to use an existing language model to rank and score natural language. This post outlines how to best do this to process or evaluate data.
Users can explore culture in unique ways using Google's voice AI models. Projects include Talking Tours with AI-guided virtual tours, Mice in the Museum for art narration, and Lip Sync, where animated lips discuss cultural topics. These fun tools offer fresh perspectives on art and design.
OpenAI's revenue is primarily from consumer subscriptions, with 75% generated from paid ChatGPT users. Despite efforts to attract corporate customers, the consumer side remains strong with ChatGPT reaching 250 million weekly active users. OpenAI recently secured $6.6 billion in funding to support AI advancement and is advocating for significant data center expansion.
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There are thousands of AI tools on G2. Find one you're using, share your experience to help future users, and get a $10 gift card for your
Hello Patient has launched out of stealth with a $6.3m seed round led by 8VC.
OpenAI is planning to debut a successor to GPT-4 and Google plans to launch Gemini 2.0 in December.
Meta is developing a search engine for its chatbot to reduce reliance on Google and Microsoft.
red_panda, a new image generation model, outperforms models from Midjourney, Black Forest Labs, and OpenAI on the Artificial Analysis benchmark.
DeepMind has talked a little bit more about the audio generation models used to power NotebookLM.
OpenAI has released the SimpleQA benchmark, which measures models' abilities around simple factual questions.
This study explores using feature steering in AI models to interpretably modify outputs. It reveals a "steering sweet spot", where changes do not degrade capabilities. The study results show steering can alter social bias in targeted domains but also brings unexpected off-target effects. Further research is required to refine feature steering for safer, more reliable outcomes in AI models.
Thunder Kittens is a framework for writing extremely performant GPU Kernels. It is built on the idea that GPUs actually want to operate on small 16x16 tiles of data. In turn, the useability is quite high, and 40% faster kernels only take a few hundred lines of code.
MeshRet has introduced a novel approach for improving motion retargeting for 3D characters that focuses on preserving body geometry interactions from the start.
Researchers have enhanced Masked Generative Models (MGMs) with a new self-guidance sampling method, improving their image generation quality while maintaining diversity.
This project introduces PiToMe, an algorithm that compresses Vision Transformers by progressively merging tokens after each layer. This method reduces the number of tokens processed.
PF3plat tackles the challenge of pose-free 3D reconstruction and novel view synthesis from RGB images, eliminating the need for extra data.
SELECT is the first large-scale benchmark for comparing data curation strategies in image classification. ImageNet++ is a new dataset that extends ImageNet-1K with five new training-data shifts, each assembled using different curation techniques.
BitNet, developed by Microsoft Research, introduces a transformer architecture that reduces LLM computational and memory requirements by using ternary precision (-1, 0, 1) equating to 1.58 bits per parameter. Models are required to be trained from scratch. BitNet can also fine-tune existing models to this low-precision format, maintaining strong performance on downstream tasks. This approach significantly reduces energy consumption and improves inference speed using specialized kernels for efficient matrix multiplication.
Assembled uses LLMs to accelerate and improve software testing, enabling test generation in minutes instead of hours. This approach increases engineering productivity, saving time and shifting focus to feature development. LLMs generate comprehensive and accurate tests that maintain code quality and development velocity.
A CNET survey revealed that only 18% of smartphone users are motivated by AI features to upgrade their devices, with privacy and cost being significant concerns. Major manufacturers like Apple, Google, and Samsung are integrating more AI capabilities in their phones, yet many users prioritize battery life and storage over AI functions. AI subscriptions are set to become common, but nearly half of users are unwilling to pay for these features.
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Rime AI, who trains custom speech synthesis models with over 200 distinct voices, achieved <300 milliseconds p99 API latency with perfect uptime after switching to Baseten for model inference. Read
Google's Project Jarvis, powered by Gemini 2.0, aims to automate web-based tasks in Chrome by using AI agents capable of reasoning and planning.
Concerns have risen over OpenAI's Whisper introducing hallucinations in transcriptions, even in medical contexts.
Kepler has unveiled the Forerunner K2 humanoid robot, which has advanced AI, improved hardware, and enhanced vision and navigation systems for better real-time interaction.
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STEM employers are at a tipping point, where rapid AI advancements are transforming traditional workflows. But lagging implementation, skills mismatches, and lack of trust are holding them back from unleashing AI's full potential.
Salesforce's CEO Marc Benioff recently discussed the company's new AI initiative, Agentforce, highlighting its potential to revolutionize enterprise applications and customer interactions. Benioff criticized Microsoft's Copilot, positioning Salesforce's approach as more integrated and effective due to its robust platform and data architecture. In the interview, he emphasized the importance of AI-driven "agentic" layers, which aim to enhance customer service and operational efficiency across industries.