All tags
Company: "h2oai"
Sora pushes SOTA
gemini-1.5 sora h20-gpt mistral-7b llama-13b mistralcasualml mixtral-instruct yi-models openai google-deepmind nvidia mistral-ai h2oai multimodality gpu-power-management long-context model-merging fine-tuning retrieval-augmented-generation role-play-model-optimization cross-language-integration training-loss synthetic-data-generation coding-support
Discord communities analyzed over 20 guilds, 312 channels, and 10550 messages reveal intense discussions on AI developments. Key highlights include the Dungeon Master AI assistant for Dungeons and Dragons using models like H20 GPT, GPU power supply debates involving 3090 and 3060 GPUs, and excitement around Google's Gemini 1.5 with its 1 million token context window and OpenAI's Sora model. Challenges with large world models (LWM) multimodality, GPT-assisted coding, and role-play model optimization with Yi models and Mixtral Instruct were discussed. Technical issues like model merging errors with MistralCasualML, fine-tuning scripts like AutoFineTune, and cross-language engineering via JSPyBridge were also prominent. NVIDIA's Chat with RTX feature leveraging retrieval-augmented generation (RAG) on 30+ series GPUs was compared to LMStudio's support for Mistral 7b and Llama 13b models. The community is cautiously optimistic about these frontier models' applications in media and coding.
Less Lazy AI
hamster-v0.2 flan-t5 miqu-1-120b-gguf qwen2 axolotl openai hugging-face nous-research h2oai apple model-merging fine-tuning quantization vram-optimization plugin-development chatbot-memory model-training bug-reporting api-compatibility philschmid
The AI Discord summaries for early 2024 cover various community discussions and developments. Highlights include 20 guilds, 308 channels, and 10449 messages analyzed, saving an estimated 780 minutes of reading time. Key topics include Polymind Plugin Puzzle integrating PubMed API, roleplay with HamSter v0.2, VRAM challenges in Axolotl training, fine-tuning tips for FLAN-T5, and innovative model merging strategies. The Nous Research AI community discussed GPT-4's lyricism issues, quantization techniques using
llama.cpp, frankenmerging with models like miqu-1-120b-GGUF, anticipation for Qwen2, and tools like text-generation-webui and ExLlamaV2. The LM Studio community reported a bug where the app continues running after UI closure, with a workaround to forcibly terminate the process. These discussions reflect ongoing challenges and innovations in AI model training, deployment, and interaction.