All tags
Topic: "model-updates"
Alibaba Yunqi: 7 models released in 4 days (Qwen3-Max, Qwen3-Omni, Qwen3-VL) and $52B roadmap
qwen3-max qwen3-omni qwen3-vl qwen3guard qwen3-livetranslate qwen3-tts-flash qwen-image-edit qwen3coder qwen alibaba alicloud tool-use large-model-coding reasoning multimodality model-release model-updates industry-application scaling fine-tuning reinforcement-learning junyang_lin eddie_wu alibaba_wan
Alibaba's Tongyi Qianwen (Qwen) team launched major updates including the 1T parameter Qwen3-Max, Qwen3-Omni, and Qwen3-VL models, alongside specialized versions like Qwen3Guard, Qwen3-LiveTranslate, Qwen3-TTS-Flash, Qwen-Image-Edit, and Qwen3Coder. At the AliCloud Yunqi (Apsara) conference, CEO Eddie Wu outlined a $52B roadmap emphasizing two AI development stages: "intelligence emergence" focusing on learning from humans and reasoning, and "autonomous action" highlighting AI's tool use and real-world task execution. The updates showcase advances in tool use, large-model coding capabilities, and AI's expanding role across industries such as logistics, manufacturing, biomedicine, and finance. Junyang Lin and Alibaba Wan are key spokespersons for these developments. The Qwen project is now seen as a "frontier lab" for AI innovation.
OpenAI Realtime API GA and new `gpt-realtime` model, 20% cheaper than 4o
gpt-realtime gpt-4o-realtime grok-code-fast-1 codex mai-1-preview mai-voice-1 gemini-cli openai xai microsoft google speech-to-speech instruction-following function-calling telephony webrtc voice-agents multilingual-switching voice-control benchmarks coding-models ide-integration developer-tools model-updates swyx juberti omarsar0 reach_vb pbbakkum skcd42 mohitreddy13 cline kevinweil gdb sama _philschmid
OpenAI launched the gpt-realtime model and Realtime API to GA, featuring advanced speech-to-speech capabilities, new voices (Cedar, Marin), image input, SIP telephony, and a ~20% price cut. Benchmarks show improvements over gpt-4o-realtime on BigBench and ComplexFuncBench. xAI introduced Grok Code Fast 1, a speed-optimized coding model integrated with popular IDEs, while OpenAI Codex received major upgrades for local and cloud development workflows. Google’s Gemini CLI improved multi-editor support, and new models like Microsoft MAI-1-preview and MAI-Voice-1 were announced. "The new all-in-one WebRTC API removes the ephemeral token step and supports video on the same connection," highlighting enhanced developer tooling.
Google I/O: new Gemini native voice, Flash, DeepThink, AI Mode (DeepSearch+Mariner+Astra)
gemini-2.5-pro gemini-2.5 google google-deepmind ai-assistants reasoning generative-ai developer-tools ai-integration model-optimization ai-application model-updates ai-deployment model-performance demishassabis philschmid jack_w_rae
Google I/O 2024 showcased significant advancements with Gemini 2.5 Pro and Deep Think reasoning mode from google-deepmind, emphasizing AI-driven transformations and developer opportunities. GeminiApp aims to become a universal AI assistant on the path to AGI, with new features like AI Mode in Google Search expanding generative AI access. The event included multiple keynotes and updates on over a dozen models and 20+ AI products, highlighting Google's leadership in AI innovation. Influential voices like demishassabis and philschmid provided insights and recaps, while the launch of Jules as a competitor to Codex/Devin was noted.
not much happened today
gemini-2.0-flash-thinking command-a qwq-32b gemma-3-27b gemma-3 shieldgemma-2 llama-3-70b deepseek-r1 o1-mini deepseek-v3 google-deepmind cohere meta-ai-fair alibaba hugging-face model-updates model-performance benchmarking reinforcement-learning transformers normalization-layers image-generation vision memory-efficiency context-windows fine-tuning yann-lecun
Google DeepMind announced updates to Gemini 2.0, including an upgraded Flash Thinking model with stronger reasoning and native image generation capabilities. Cohere launched Command A, a 111B parameter dense model with a 256K context window and competitive pricing, available on Hugging Face. Meta AI proposed Dynamic Tanh (DyT) as a replacement for normalization layers in Transformers, supported by Yann LeCun. Alibaba released QwQ-32B, a 32.5B parameter model excelling in math and coding, fine-tuned with reinforcement learning and freely available under Apache 2.0 license. Google DeepMind also released Gemma 3 models ranging from 1B to 27B parameters with a 128K token context window and over 140 language support, plus ShieldGemma 2, an image safety checker. Benchmarking shows Gemma 3 27B has strong vision and memory efficiency but is outperformed by larger models like Llama 3.3 70B and DeepSeek V3 671B. The Hugging Face LLM leaderboard history was shared by @_lewtun.
Pixtral Large (124B) beats Llama 3.2 90B with updated Mistral Large 24.11
pixtral-large mistral-large-24.11 llama-3-2 qwen2.5-7b-instruct-abliterated-v2-gguf qwen2.5-32b-q3_k_m vllm llama-cpp exllamav2 tabbyapi mistral-ai sambanova nvidia multimodality vision model-updates chatbots inference gpu-optimization quantization performance concurrency kv-cache arthur-mensch
Mistral has updated its Pixtral Large vision encoder to 1B parameters and released an update to the 123B parameter Mistral Large 24.11 model, though the update lacks major new features. Pixtral Large outperforms Llama 3.2 90B on multimodal benchmarks despite having a smaller vision adapter. Mistral's Le Chat chatbot received comprehensive feature updates, reflecting a company focus on product and research balance as noted by Arthur Mensch. SambaNova sponsors inference with their RDUs offering faster AI model processing than GPUs. On Reddit, vLLM shows strong concurrency performance on an RTX 3090 GPU, with quantization challenges noted in FP8 kv-cache but better results using llama.cpp with Q8 kv-cache. Users discuss performance trade-offs between vLLM, exllamav2, and TabbyAPI for different model sizes and batching strategies.
Claude 3.5 Sonnet (New) gets Computer Use
claude-3.5-sonnet claude-3.5-haiku llama-3.1 nemotron anthropic zep nvidia coding benchmarks computer-use vision multimodal-memory model-updates ai-integration philschmid swyx
Anthropic announced new Claude 3.5 models: 3.5 Sonnet and 3.5 Haiku, improving coding performance significantly, with Sonnet topping several coding benchmarks like Aider and Vectara. The new Computer Use API enables controlling computers via vision, scoring notably higher than other AI systems, showcasing progress in AI-driven computer interaction. Zep launched a cloud edition for AI agents memory management, highlighting challenges in multimodal memory. The update also mentions Llama 3.1 and Nemotron models from NVIDIA.
Nothing much happened today
chameleon-7b chameleon-30b xlam-1b gpt-3.5 phi-3-mini mistral-7b-v3 huggingface truth_terminal microsoft apple openai meta-ai-fair yi axolotl amd salesforce function-calling multimodality model-releases model-updates model-integration automaticity procedural-memory text-image-video-generation
HuggingFace released a browser-based timestamped Whisper using transformers.js. A Twitter bot by truth_terminal became the first "semiautonomous" bot to secure VC funding. Microsoft and Apple abruptly left the OpenAI board amid regulatory scrutiny. Meta is finalizing a major upgrade to Reddit comments addressing hallucination issues. The Yi model gained popularity on GitHub with 7.4K stars and 454 forks, with potential integration with Axolotl for pregeneration and preprocessing. AMD technologies enable household/small business AI appliances. Meta released Chameleon-7b and Chameleon-30b models on HuggingFace supporting unified text and image tokenization. Salesforce's xLAM-1b model outperforms GPT-3.5 in function calling despite its smaller size. Anole pioneered open-source multimodal text-image-video generation up to 720p 144fps. Phi-3 Mini expanded from 3.8B to 4.7B parameters with function calling, competing with Mistral-7b v3. "System 2 distillation" in humans relates to automaticity and procedural memory.
Ring Attention for >1M Context
gemini-pro gemma-7b gemma-2b deepseek-coder-6.7b-instruct llama-cpp google cuda-mode nvidia polymind deepseek ollama runpod lmstudio long-context ringattention pytorch cuda llm-guessing-game chatbots retrieval-augmented-generation vram-optimization fine-tuning dynamic-prompt-optimization ml-workflows gpu-scaling model-updates liu zaharia abbeel
Google Gemini Pro has sparked renewed interest in long context capabilities. The CUDA MODE Discord is actively working on implementing the RingAttention paper by Liu, Zaharia, and Abbeel, including extensions from the World Model RingAttention paper, with available PyTorch and CUDA implementations. TheBloke Discord discussed various topics including LLM guessing game evaluation, chatbot UX comparisons between Nvidia's Chat with RTX and Polymind, challenges in retrieval-augmented generation (RAG) integration, VRAM optimization, fine-tuning for character roleplay using Dynamic Prompt Optimization (DPO), and model choices like deepseek-coder-6.7B-instruct. There was also discussion on ML workflows on Mac Studio, with preferences for llama.cpp over ollama, and scaling inference cost-effectively using GPUs like the 4090 on Runpod. LM Studio users face manual update requirements for version 0.2.16, which includes support for Gemma models and bug fixes, especially for MacOS. The Gemma 7B model has had performance issues, while Gemma 2B received positive feedback.