REWARD HACKING
Lilian Weng has another great blog post discussing the challenge of Reward Hacking within language model alignment. It is one of the major challenges preventing models from being deployed into production scenarios.
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Lilian Weng has another great blog post discussing the challenge of Reward Hacking within language model alignment. It is one of the major challenges preventing models from being deployed into production scenarios.
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LoRA-SB is a new method that brings full fine-tuning performance to low-rank adapters for large language models.
Researchers introduced a new method called Diversity-driven EarlyLate Training (DELT) to improve dataset distillation for large-scale tasks.
A nice simple utility that allows you to create a JSONL dataset based on the messages sent back and forth between user and API.
US District Judge Amit Mehta suggests AI could play a significant role in developing remedies following the government's win in the Google search monopoly trial, potentially affecting Google's AI products. The DOJ has proposed remedies to prevent Google from using AI to maintain its market dominance, including restrictions on exclusive agreements and investments in AI. Microsoft is resisting Google's demands for confidential AI deal details, arguing relevance. OpenAI may be compelled to share data amidst these considerations.
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If you're at NeurIPS in Vancouver next week (Dec 10-15), stop by the Jane Street booth. It's a giant interactive puzzle - crack it to win
Documentation on how to use the new package manager UV to install PyTorch.
European AI startup Mistral, known for open-weight LLMs, is expanding to Palo Alto to access Silicon Valley talent and resources.
OpenAI is allowing employees to sell $1.5 billion worth of shares to SoftBank, reflecting growing investor interest in AI.
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AI is everywhere, but customers need to know that you're using it safely and responsibly. The ISO 42001 standard [4] helps companies demonstrate their AI security practices in a verifiable way.
Elon Musk's legal team has filed a motion to prevent OpenAI from transitioning to a for-profit model citing alleged antitrust violations and financial risks. The motion claims CEO Sam Altman's actions could leave the company unable to pay damages if Musk wins his lawsuit.
Perplexity's CEO plans to develop a "simple, under $50" AI device for voice-to-voice interactions. This aligns with a broader trend of AI startups exploring hardware to enable new interactions, although historical challenges in AI hardware highlight risks. Perplexity, with substantial funding, aims to avoid pitfalls faced by others like Humane's Ai Pin.
Inflection AI shifted its focus from developing cutting-edge AI models to providing AI tools for enterprise customers, leveraging current AI models. It has acquired three AI startups to strengthen offerings and is open to licensing models from former competitors. CEO Sean White says the company is focused on practical applications over frontier model development, highlighting on-premise AI solutions for enterprise data security.
INTELLECT-1 is a 10B parameter model trained on 1T tokens with hardware distributed around the globe. The benchmarks are reasonable, and the MFU of 30%+ is amazing given the distributed nature of training. If the results hold, this is a substantial improvement for decentralized large model training.
This new framework pushes object detection into open-world scenarios by teaching AI to identify and learn from objects it hasn't seen before.
HUPE is an AI-powered method that improves underwater image clarity while preserving details critical for other tasks like object detection.
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If you're managing AI infrastructure, you have better options than SSH and Kubernetes. Join this technical workshop [11] to see how you can streamline AI workflows on Lambda using dstack, an open-source AI container orchestrator — including automated instance provisioning, and simplified orchestration for environments and model deployments.
Google researchers were able to accurately map the Ionosphere by using GPS fluctuations and some clever algorithmic work. The task is usually expensive and time consuming. This effort can assist with various climate solutions.
Logic Tensor Networks (LTN) merge deep learning with logical reasoning, allowing neural models to learn by optimizing a knowledge base of logical formulas.
ProX is a framework that treats data refinement as a programming task, allowing models to apply fine-grained operations to individual examples at scale. It improves the quality of pre-training corpora by using small language models to generate programs.
MMDuet is a novel "video-text duet" interaction format for VideoLLMs that allows AI to provide real-time responses as videos play. The approach mimics a dialogue where both users and AI can exchange messages during playback.
LLM makers like OpenAI face significant challenges due to industry structure, notably NVIDIA's pricing power as the key chip supplier and high buyer price sensitivity and competition. Many AI companies raise substantial capital but struggle with profitability, similar to historical tech firms like Netscape. Despite this, the technology itself may still advance. AI businesses might succeed by leveraging existing models rather than developing new ones.
A new AI-native CRM, Rox, aims to disrupt Salesforce by leveraging AI's ability to manage unstructured data and integrate with data warehouses. Rox's strategy focuses on enhancing top sales performers through AI-powered agents while securing customer data for future AI developments. Investors have shown confidence with $50M in funding, betting on Rox as AI capabilities continue to improve.
PlayAI raised $21 Million to advance voice-first AI interfaces and models and introduced Play Dialog, a state-of-the-art multi-turn speech model.
Anthropic's Claude AI now offers customizable response styles, allowing users to adjust tone and length for different writing tasks.
This repository contains code for converting a GPT implementation to Meta AI's Llama.
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This holiday season, you deserve peace of mind—especially when it comes to your personal data.
Alibaba has released QwQ-32B-Preview, an ‘open' challenger to OpenAI's o1 reasoning model.
Ai2 has released OLMo 2, an open-source language model series with models containing 7 and 13 billion parameters. OLMo 2 is developed with publicly accessible training data and code. Aiming to boost open-source AI innovation, Ai2 claims these models outperform similar open models like Meta's Llama 3.1. The models are available under the Apache 2.0 license for commercial use.
Elon Musk's xAI plans to launch a standalone app for its Grok chatbot by December, competing directly with OpenAI's ChatGPT. Grok is currently accessible through X for subscribers only. This move positions xAI to more directly challenge established chatbot apps from OpenAI, Google, and Anthropic.
Hazy Research has been critical in improving hardware utilization for AI workloads. It has extended its amazing ThunderKittens Kernel writing framework to work on Apple Silicon.
Diffusion models for End-to-End driving of autonomous vehicles which can operate at 45 FPS on a 4090 chip.
PassionSR introduces an approach that makes diffusion-based image super-resolution (SR) models more hardware-friendly.
The Allen AI Institute has released extremely useful post training code for instruction tuning.
Up to 11x speed improvement for long context token processing and generation. It is slightly better than ring attention, but still worse than full attention.
Grounding-IQA is a new approach to image quality assessment (IQA) that integrates precise location-based grounding and multimodal descriptions.
RoboPAIR is an algorithm that successfully jailbreaks robots powered by LLMs, bypassing all safety guardrails. Experiments showed a 100% success rate in hacking systems like Go2, a self-driving simulator, and robot dogs. These findings reveal significant security vulnerabilities, stressing the need for better defenses against LLM-based robot hacking.
Fugatto, a new generative AI model, allows users to control audio creation and transformation using text prompts. It can generate music, modify voices, and create unique sounds, showcasing capabilities through tasks like music production and video game development. Developed by NVIDIA researchers, Fugatto uses 2.5 billion parameters and was trained on a vast dataset to handle multilingual audio tasks and unsupervised learning.
Recent shifts in AI scaling laws reveal limitations in predictability and effectiveness, with new models not meeting earlier expectations. Microsoft CEO Satya Nadella highlights "inference time compute" as a potential area of focus, but concerns about cost and reliability persist. Innovation beyond scaling is needed. LLMs should be part of a broader AI strategy.
Controlling web browsers for AI agents is a useful thing for accessing information.
Allen AI has released several datasets that were used to train its visual language models.
StableAnimator introduces a breakthrough in human image animation by ensuring identity consistency in generated videos.
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The holidays are here, and so are the _cyber risks_—your personal data is on sale, and the buyer could be anyone. A legal loophole allows data brokers to collect your personal information and sell it to the highest bidder.