All tags
Topic: "price-cuts"
ChatGPT Advanced Voice Mode
o1-preview qwen-2.5 llama-3 claude-3.5 openai anthropic scale-ai togethercompute kyutai-labs voice-synthesis planning multilingual-datasets retrieval-augmented-generation open-source speech-assistants enterprise-ai price-cuts benchmarking model-performance sam-altman omarsar0 bindureddy rohanpaul_ai _philschmid alexandr_wang svpino ylecun _akhaliq
OpenAI rolled out ChatGPT Advanced Voice Mode with 5 new voices and improved accent and language support, available widely in the US. Ahead of rumored updates for Llama 3 and Claude 3.5, Gemini Pro saw a significant price cut aligning with the new intelligence frontier pricing. OpenAI's o1-preview model showed promising planning task performance with 52.8% accuracy on Randomized Mystery Blocksworld. Anthropic is rumored to release a new model, generating community excitement. Qwen 2.5 was released with models up to 32B parameters and support for 128K tokens, matching GPT-4 0613 benchmarks. Research highlights include PlanBench evaluation of o1-preview, OpenAI's release of a multilingual MMMLU dataset covering 14 languages, and RAGLAB framework standardizing Retrieval-Augmented Generation research. New AI tools include PDF2Audio for converting PDFs to audio, an open-source AI starter kit for local model deployment, and Moshi, a speech-based AI assistant from Kyutai. Industry updates feature Scale AI nearing $1B ARR with 4x YoY growth and Together Compute's enterprise platform offering faster inference and cost reductions. Insights from Sam Altman's blog post were also shared.
Too Cheap To Meter: AI prices cut 50-70% in last 30 days
gpt-4o gpt-4o-mini llama-3-1-405b mistral-large-2 gemini-1.5-flash deepseek-v2 sonnet-3.5 exaone-3.0 minicpm-v-2.6 claude-3.5 gpt-4o-2024-08-06 llamaindex together-ai deepinfra deepseek-ai mistral-ai google-deepmind lg-ai-research llamaindex llamaindex llamaindex price-cuts context-caching instruction-tuning vision benchmarks pytorch attention-mechanisms reinforcement-learning-from-human-feedback compute-optimal-scaling rohanpaul_ai akhaliq mervenoyann sophiamyang chhillee karpathy
Gemini 1.5 Flash has cut prices by approximately 70%, offering a highly competitive free tier of 1 million tokens per minute at $0.075/mtok, intensifying the AI model price war. Other significant price reductions include GPT-4o (~50% cut to $2.50/mtok), GPT-4o mini (70-98.5% cut to $0.15/mtok), Llama 3.1 405b (46% cut to $2.7/mtok), and Mistral Large 2 (62% cut to $3/mtok). Deepseek v2 introduced context caching, reducing input token costs by up to 90% to $0.014/mtok. New model releases include Llama 3.1 405b, Sonnet 3.5, EXAONE-3.0 (7.8B instruction-tuned by LG AI Research), and MiniCPM V 2.6 (vision-language model combining SigLIP 400M and Qwen2-7B). Benchmarks show Mistral Large performing well on ZebraLogic and Claude-3.5 leading LiveBench. FlexAttention, a new PyTorch API, simplifies and optimizes attention mechanisms. Andrej Karpathy analyzed RLHF, highlighting its limitations compared to traditional reinforcement learning. Google DeepMind research on compute-optimal scaling was also summarized.