[AINews] Grok 2! and ChatGPT-4o-latest confuses everybody • ButtondownTwitterTwitter

This section provides a recap of AI-related discussions on Twitter and Reddit. It covers updates on various AI models and capabilities, tools for AI development, industry and research trends, open-source model releases, and discussions on AI alignment and academic publishing. The Reddit recap includes topics such as new open-source LLM releases, challenges in fine-tuning tools, issues with model deployment, and discussions on advanced AI agents with desktop control.

Grok-2 Takes the Lead:

• Grok-2 has outperformed Claude 3.5 Sonnet and GPT-4-Turbo on the LMSYS leaderboard, showcasing its advanced capabilities in chat, coding, and reasoning. The model, previously known as sus-column-r, is in beta and set to be available through x.ai's enterprise API soon.
• AgentQ Claims Victory: AgentQ, a new model from Infer, claims to outperform Llama 3 70B BASE by 340%, although it doesn't compare itself to newer models like Claude 3. This bold claim has sparked discussions about its potential impact and the lack of proper documentation surrounding its capabilities.

Quantization Techniques and Model Merging:

• HQQ+ Enhances Quantized Models: HQQ+ allows fine-tuning additional LoRa adapter layers onto quantized models, improving accuracy significantly for models like Llama2-7B. This technique has shown remarkable results in both 1-bit and 2-bit quantized models, leading to discussions on its implementation in various projects.
• Mistral and Model Merging Strategies: Members discussed the challenges of Mistral, particularly its limitation of not extending beyond 8k without continued pretraining, a known issue. Suggestions for merging tactics were made, including applying differences between UltraChat and base Mistral to improve performance.

A new version of OpenInterpreter was released on pip, with a developer update in progress. Local LLMs are resource-intensive, recommending cloud usage. RealtimeSTT and Faster-Whisper integration provide real-time speech-to-text. Obsidian Plugin enables versatile data conversion. Tool Use Tuesday involves video production with Open Interpreter and Obsidian for a contest.

The web page section discusses various conversations and activities happening in different Discord channels related to AI research and development. The topics range from hosting hackathons, discussions on model merging tactics, automated Jupyter Notebook exploration, to struggles expanding AI models beyond 8k parameters. Users share insights on utilizing model fine-tuning platforms, building feature stores for image data, and improving AI model capabilities. Additionally, there are mentions of challenges and solutions in model training, utilization of quantization techniques, and the impact of different language models on various tasks. The content also covers diverse topics such as Discord self-promotion, humor related to mosquitoes, and the importance of multilingual support in AI models. Moreover, there are conversations on the accuracy of sentiment analysis models and discussions on the usage of semantic chunking versus regex for text segmentation. Overall, the section provides a glimpse into the dynamic and informative discussions within AI-focused Discord channels.

This section covers the release of a new Dataset Filtering and Scoring Tool, skepticism towards the LMSYS Leaderboard, the introduction of Grok-2 model, improvements in OpenAI ChatGPT-4o, and the discussion on HQQ+ for quantized models. Each update provides insights into new developments, challenges, and advancements in various AI tools and models.

Pliny Threatens to Leak MultiOn System Prompt:

• Pliny, a prominent AI researcher, threatened to leak the full MultiOn system prompt on GitHub if DivGarg9 didn't provide an answer within 15 minutes. This follows an ongoing debate on Twitter regarding the capabilities of various AI models and their performance on specific benchmarks.

AnswerAI ColBERT: Small but Mighty:

• AnswerAI has released a small but powerful version of their ColBERT model, called answerai-colbert-small-v1, that beats even bge-base on BEIR benchmark. This demonstrates the effectiveness of smaller models in achieving high performance in certain tasks, potentially offering a more cost-effective solution.

Gemini Live Demo Draws Criticism:

• Swyxio criticized Google's Gemini Live Demo on YouTube, deeming it 'cringe'. This was followed by a discussion on the potential of Gemini, with some emphasizing its ability to enhance voice assistants while others remain skeptical.

GPT-4o Improvements Surpass Gemini:

• OpenAI's latest GPT-4o model has been tested in the Chatbot Arena and has surpassed Google's Gemini-1.5-Pro-Exp in overall performance. The new GPT-4o model has demonstrated significant improvement in technical domains, particularly in Coding, Instruction-following, and Hard Prompts, solidifying its position as the top performer on the leaderboard.

Grok 2 Makes its Debut:

• xAI has released an early preview of Grok-2, a significant advancement from its previous model, Grok-1.5, showcasing capabilities in chat, coding, and reasoning. Grok-2 has been tested on the LMSYS leaderboard and is outperforming both Claude 3.5 Sonnet and GPT-4-Turbo, although it is not yet available through the API.

• Grok-2 is Out: A new language model, Grok-2, has been released by x.ai. It outperforms Claude 3.5 and GPT-4-Turbo on the LMSYS leaderboard. * Prompt Caching with Anthropic API: Anthropic has introduced prompt caching in their API, reducing input costs by up to 90% and latency by up to 80%. * Turnaround at Anthropic: Anthropic has transformed from being less popular to being at the forefront of AI development. * ML Drama - ChatGPT Updates: OpenAI announced improvements in the GPT-4o model, introducing the gpt-4o-latest model via the ChatGPT API. * AI Copyright Discourse and Oligopoly: Discusses the potential consequences of AI copyright debates leading to oligopoly. * LlamaIndex Developments: LlamaIndex introduces new features like Box Readers, knowledge graph construction with Relik, and Azure AI Search integration for a Retrieval-Augmented Generation system.

LangChain AI ▷ #general (27 messages🔥):

• Support for LangChain users: Concerns were raised regarding the lack of timely support for basic questions in LangChain forums, affecting users' ability to promote the platform to their employers. General support questions were flooding the LangChain Discord server while related support forums remained unaddressed.

• LangSmith Plus Access: A member inquired about LangSmith Plus users' access to LangGraph Cloud, but no response was provided.

• LangChain Postgres Library and Caching: An inquiry was made about using the langchain_postgres library with caching methods, to which a suggestion was given to use the SQLAlchemyCache class for caching LLM results in a PostgreSQL database.

• Error Loading Sitemap: A member reported an error message related to using asyncio.run() in a running event loop and was advised to use nest_asyncio or refactor the code to resolve the issue.

• Multi-LLM GUI Recommendations: A request for recommendations on a multi-LLM GUI was made, but an answer was not provided.

• Poe is having a Previews hackathon: Poe is hosting a hackathon in partnership with @agihouse_org for in-chat generative UI experiences. More details can be found here.
• Hackathon Invites: Discussion on the status of hackathon invites and a mention of spending credits from a fine-tuning course.
• Modal is the best platform for fine-tuning LLMs: Modal Labs is recommended for fine-tuning open-source LLMs, offering valuable tools for developers.