All tags
Topic: "voice-cloning"
not much happened today
gemini-2.0-flash-thinking-experimental-1-21 zonos openr1-math-220k huginn-3.5b deepseek-r1 o1 claude google zyphraai hugging-face anthropic deepseek openai vision multilingual-models text-to-speech voice-cloning math reasoning latent-reasoning chain-of-thought dataset-release fine-tuning model-training model-performance context-windows benchmarking jeremyphoward andrej-karpathy tom-goldstein reach_vb iscienceluvr
Google released Gemini 2.0 Flash Thinking Experimental 1-21, a vision-language reasoning model with a 1 million-token context window and improved accuracy on science, math, and multimedia benchmarks, surpassing DeepSeek-R1 but trailing OpenAI's o1. ZyphraAI launched Zonos, a multilingual Text-to-Speech model with instant voice cloning and controls for speaking rate, pitch, and emotions, running at ~2x real-time speed on RTX 4090. Hugging Face released OpenR1-Math-220k, a large-scale math reasoning dataset with 220K problems and 800K reasoning traces generated on 512 H100 GPUs. Tom Goldstein introduced Huginn-3.5B, an open-source latent reasoning model trained on 800B tokens that outperforms larger models on reasoning tasks like GSM8K. Discussions by Jeremy Howard and iScienceLuvr highlight advances in implicit latent reasoning and debate the future of human-readable reasoning traces. Anthropic launched the Anthropic Economic Index to analyze AI's economic impact using millions of Claude conversations.
not much happened this weekend
o3 o1 opus sonnet octave openai langchain hume x-ai amd nvidia meta-ai-fair hugging-face inference-time-scaling model-ensembles small-models voice-cloning fine-math-dataset llm-agent-framework benchmarking software-stack large-concept-models latent-space-reasoning mechanistic-interpretability planning speech-language-models lisa-su clementdelangue philschmid neelnanda5
o3 model gains significant attention with discussions around its capabilities and implications, including an OpenAI board member referencing "AGI." LangChain released their State of AI 2024 survey. Hume announced OCTAVE, a 3B parameter API-only speech-language model with voice cloning. x.ai secured a $6B Series C funding round. Discussions highlight inference-time scaling, model ensembles, and the surprising generalization ability of small models. New tools and datasets include FineMath, the best open math dataset on Hugging Face, and frameworks for LLM agents. Industry updates cover a 5-month benchmarking of AMD MI300X vs Nvidia H100 + H200, insights from a meeting with Lisa Su on AMD's software stack, and open AI engineering roles. Research innovations include Large Concept Models (LCM) from Meta AI, Chain of Continuous Thought (Coconut) for latent space reasoning, and mechanistic interpretability initiatives.
Evals-based AI Engineering
jamba bamboo qwen-1.5-moe grok-1.5 llama2-7b openai mistral-ai x-ai llamaindex evaluation fine-tuning prompt-engineering voice-cloning quantization model-optimization code-generation context-windows hamel-husain alec-radford
Hamel Husain emphasizes the importance of comprehensive evals in AI product development, highlighting evaluation, debugging, and behavior change as key iterative steps. OpenAI released a voice engine demo showcasing advanced voice cloning from small samples, raising safety concerns. Reddit discussions introduced new models like Jamba (hybrid Transformer-SSM with MoE), Bamboo (7B LLM with high sparsity based on Mistral), Qwen1.5-MoE (efficient parameter activation), and Grok 1.5 (128k context length, surpassing GPT-4 in code generation). Advances in quantization include 1-bit Llama2-7B models outperforming full precision and the QLLM quantization toolbox supporting GPTQ/AWQ/HQQ methods.
MetaVoice & RIP Bard
mixtral nous-mixtral-dpo miqu-70b gpt-4 llama-2-70b-instruct llama-2 llama-2-70b llama-2-70b-instruct coqui metavoice google openai thebloke text-to-speech voice-cloning longform-synthesis prompt-engineering direct-preference-optimization lora-fine-tuning transformers gpu-acceleration apple-silicon content-authenticity metadata ai-censorship open-source-ai model-comparison usability model-limitations
Coqui, a TTS startup that recently shut down, inspired a new TTS model supporting voice cloning and longform synthesis from a small startup called MetaVoice. Google discontinued the Bard brand in favor of Gemini. On TheBloke Discord, discussions focused on AI training with models like Mixtral, Nous Mixtral DPO, and Miqu 70B, comparing them to OpenAI's GPT models, and debated prompt engineering, lorebooks, and removing safety features via LoRA fine-tuning on models such as Llama2 70B instruct. Technical topics included transformer layer offloading limitations and adapting LLaMa 2 for Apple Silicon. On OpenAI Discord, DALL-E images now include C2PA metadata for content authenticity, sparking debates on AI censorship, metadata manipulation, and open-source AI models versus commercial giants like GPT-4. Users discussed GPT-4 usability, limitations, and practical applications.