Topic: "gpu-rentals"

Jan 14
not much happened today
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helium-1 qwen-2.5 phi-4 sky-t1-32b-preview o1 codestral-25.01 phi-3 mistral llama-3 gpt-3.5 llama-3 gpt-3.5 llmquoter kyutai-labs lmstudio mistralai llamaindex huggingface langchainai hyperbolic-labs replit fchollet philschmid multilinguality token-level-distillation context-windows model-performance open-source reasoning coding retrieval-augmented-generation hybrid-retrieval multiagent-systems video large-video-language-models dynamic-ui voice-interaction gpu-rentals model-optimization semantic-deduplication model-inference reach_vb awnihannun lior_on_ai sophiamyang omarsar0 skirano yuchenj_uw fchollet philschmid
Helium-1 Preview by kyutai_labs is a 2B-parameter multilingual base LLM outperforming Qwen 2.5, trained on 2.5T tokens with a 4096 context size using token-level distillation from a 7B model. Phi-4 (4-bit) was released in lmstudio on an M4 max, noted for speed and performance. Sky-T1-32B-Preview is a $450 open-source reasoning model matching o1's performance with strong benchmark scores. Codestral 25.01 by mistralai is a new SOTA coding model supporting 80+ programming languages and offering 2x speed. Innovations include AutoRAG for optimizing retrieval-augmented generation pipelines, Agentic RAG for autonomous query reformulation and critique, Multiagent Finetuning using societies of models like Phi-3, Mistral, LLaMA-3, and GPT-3.5 for reasoning improvements, and VideoRAG incorporating video content into RAG with LVLMs. Applications include a dynamic UI AI chat app by skirano on Replit, LangChain tools like DocTalk for voice PDF conversations, AI travel agent tutorials, and news summarization agents. Hyperbolic Labs offers competitive GPU rentals including H100, A100, and RTX 4090. LLMQuoter enhances RAG accuracy by identifying key quotes. Infrastructure updates include MLX export for LLM inference from Python to C++ by fchollet and SemHash semantic text deduplication by philschmid.
Jan 25, 2024
Google Solves Text to Video
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mistral-7b llava google-research amazon-science huggingface mistral-ai together-ai text-to-video inpainting space-time-diffusion code-evaluation fine-tuning inference gpu-rentals multimodality api model-integration learning-rates
Google Research introduced Lumiere, a text-to-video model featuring advanced inpainting capabilities using a Space-Time diffusion process, surpassing previous models like Pika and Runway. Manveer from UseScholar.org compiled a comprehensive list of code evaluation benchmarks beyond HumanEval, including datasets from Amazon Science, Hugging Face, and others. Discord communities such as TheBloke discussed topics including running Mistral-7B via API, GPU rentals, and multimodal model integration with LLava. Nous Research AI highlighted learning rate strategies for LLM fine-tuning, issues with inference, and benchmarks like HumanEval and MBPP. RestGPT gained attention for controlling applications via RESTful APIs, showcasing LLM application capabilities.