TLDR AI 2024-07-19

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MISTRAL AND NVIDIA'S NEW MODEL

Mistral Nemo 12B is a multilingual model trained with a new tokenizer that shows powerful multilingual and English performance. It supports 128k contexts too.

GPT-4O MINI

GPT-4o Mini is a new, smaller, model from OpenAI aimed to replace GPT-3.5. It scores 82 on MMLU, which is reasonable for cheap models.

COHERE AND FUJITSU STRATEGIC PARTNERSHIP

Cohere and Fujitsu announced a strategic partnership to develop and provide enterprise AI services with industry-leading Japanese language capabilities. These services will be created with security and data privacy at the core, offering private cloud deployments to serve organizations in highly-regulated industries including financial institutions, the public sector, and R&D units.

LEAPFROGGING TRADITIONAL VECTOR-BASED RAG WITH LANGUAGE MAPS

Retrieval is a huge part of building a chat application over data. However, systems are often sensitive to the format of things being retrieved. Building a language map (e.g., Wikipedia style entry) of the content, and using that for retrieval dramatically improves chat-based performance. Mutable AI does this for code base question answering.

PATCH-LEVEL TRAINING TECHNIQUE ENHANCES EFFICIENCY OF LLMS

Researchers propose patch-level training for large language models to improve training efficiency.

REMOVING INAPPROPRIATE CONTENT FROM DIFFUSION MODELS

Reliable and Efficient Concept Erasure (RECE) is a novel method that erases inappropriate content from diffusion models in just 3 seconds without needing extra fine-tuning.

more, to the highest bidders - every day. The good news? Incogni

confronts brokers on your behalf, preventing bad actors from accessing your data.

TLDR60.

LLM2SH

LLM2sh is a command-line utility that leverages LLMs to translate plain-language requests into shell commands.

SYMBOLIC MUSIC TASKS WITH GRAPH NEURAL NETWORKS

GraphMuse is a new framework designed to enhance the use of Graph Neural Networks (GNNs) in symbolic music tasks.

UNIVERSAL MULTIMODAL EMBEDDINGS WITH LLMS

E5-V is a new framework that adapts Multimodal Large Language Models (MLLMs) to create universal multimodal embeddings. It bridges the gap between different input types using prompts, achieving impressive performance in multimodal tasks without fine-tuning.

STRATEGIZING YOUR PREPARATION FOR MACHINE LEARNING INTERVIEWS

Machine Learning interviews can be challenging. Understanding the spectrum of ML roles and tailoring your preparation to specific job responsibilities and specializations can significantly improve your chances. Focus on mastering fundamentals, researching company-specific technologies, and consistently tracking your progress to confidently tackle interviews.

UNCENSOR ANY LLM WITH ABLITERATION

Llama models are heavily censored for safety, limiting flexibility. The "abliteration" technique uncensors them by identifying and removing the refusal mechanism, allowing models to respond to all prompts without retraining.

QUESTION-ANSWERING FOR SCIENTIFIC PAPERS

SPIQA is a QA dataset designed to help readers quickly find answers in scientific research articles by interpreting complex figures and tables.

OPENAI AND BROADCOM HELD DISCUSSIONS ABOUT PRODUCING AN AI CHIP

Broadcom has had discussions with OpenAI about building a new artificial intelligence server chip.

OVERCOMING THE LIMITS OF CURRENT LLMS

Large language models face challenges such as hallucinations, lack of confidence estimates, and lack of citations.

FLOW STUDIO (PRODUCT LAUNCH)

Flow Studio generates fully-produced, film-quality 3-minute-long videos with engaging plots, consistent characters, and automatically matched background music and sound effects.