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HUGE NEWS. OpenAI just released SORA, the most powerful video-generation model ever made. The ChatGPT of video. The video below is completely AI generated. Sora can create videos featuring highly detailed scenes, complex camera motion, and multiple characters with vibrant emotions. It also comes with next-level editing tools like Remix for tweaking videos with simple prompts and Storyboard for building longer, multi-prompt scenes. One of the most exciting things to me about this product is how easy it is to co-create with others. Link: https://openai.com/sora ↓ Are you an AI developer? Check out https://AlphaSignal.ai to get a daily summary of breakthrough models, repos and papers in AI. Read by 200,000+ devs.

There's a new AI Agent Framework that lets you build production grade applications in Python. PydanticAI helps you manage response validation, dynamic prompts, and model-agnostic workflows using the same Pydantic framework trusted by many Python libraries. Technical Details ▸ Use Pydantic for type-safe, structured response validation. ▸ Stream responses and validate structured outputs. ▸ Work with OpenAI, Gemini, Groq, or extend support for other models. ▸ Write agent control flow and logic with plain Python. ▸ Inject dependencies safely for testing and iterative development. ▸ Monitor and debug with Logfire integration. Source: https://lnkd.in/gsPa_Hae  ↓ Are you technical? Check out https://AlphaSignal.ai to get a daily summary of breakthrough models, repos and papers in AI. Read by 200,000+ devs.

Game changer. Microsoft open-sourced bitnet.cpp, you can now run 100B LLMs locally without a GPU needed. The framework quantizes LLMs to 1-bit precision and runs inference directly on CPUs, making large language models accessible on standard hardware. Technical details: ▸ Forked from llama.cpp with optimizations for 1-bit inference ▸ Handles models up to 100B parameters locally ▸ Achieves 6.17x speedup compared to standard inference ▸ Reduces energy consumption by 82.2% ▸ Works on standard CPUs without specialized hardware Repo: https://lnkd.in/guEhH8ad ↓ Are you an AI developer? Check out https://AlphaSignal.ai to get a daily summary of breakthrough models, repos and papers in AI. Read by 200,000+ devs.

NVIDIA just released a powerful PDF extraction workflow that can extract insights from text, graphs, charts, and tables no matter the size. Since it's one of their "Blueprints" (workflows for enterprise AI), it's enterprise scale and can handle terabytes of data. Key points: ▸ AI agents or chatbots can now gain expertise from any PDF. ▸ Prebuilt microservices for quick deployment and flexible scaling. ▸ Customize workflows to match enterprise data extraction needs. ▸ Embeds Wikipedia-scale data in under a day using 4x NVIDIA H100 GPUs. ▸ Drastically reduces the time and resources needed to extract/analyze data. ▸ Built with NVIDIA NeMo Retriever microservices optimized for high accuracy/ throughput. You can use it from here: https://nvda.ws/3O9KTm1

H Company might've just created the best AI agent yet. After raising $200M, they just introduced an agent that can execute any task from a prompt. Their "Runner H" can basically turn instructions into action with human-like precision. Features: ▸ Navigates web interfaces with pixel-level precision. ▸ Interprets pixels and text to understand screens and elements. ▸ Automates workflows for web testing, onboarding, and e-commerce. ▸ Adapts automatically to UI changes. ▸ Achieves a 67% success rate on WebVoyager, outperforming competitors. Architecture: ▸ Powered by a 2B-paramezer LLM for function calling and coding. ▸ Includes a 3B-parameter VLM for understanding graphical and text elements. You can signup for the private beta here: https://lnkd.in/gdrK6u6A

This might be the best agent I've seen yet. After raising $220M, @hcompany_ai just introduced an agent that can execute any task from a prompt. Their "Runner H" can basically turn instructions into action with human-like precision. Features: ▸ Navigates web interfaces with pixel-level precision. ▸ Interprets pixels and text to understand screens and elements. ▸ Automates workflows for web testing, onboarding, and e-commerce. ▸ Adapts automatically to UI changes. ▸ Achieves a 67% success rate on WebVoyager, outperforming competitors. Architecture: ▸ Powered by a 2B-paramezer LLM for function calling and coding. ▸ Includes a 3B-parameter VLM for understanding graphical and text elements. You san signup for the private beta here: https://lnkd.in/gT-WC-qe

Baseten just released the world's fastest inference engine for Whisper (1 hour transcribed in <9 seconds). It's the best open-source audio transcription AI model: -> Over 400x real-time factor. -> Best word error rate with domain-specific corrections -> Lowest cost per hour for Whisper V3 (up to 80% cheaper than OpenAI) It also has: -> Secure and HIPAA-compliant dedicated deployments -> Best-in-class reliability and observability -> Optional self-hosted deployments to customer VPCs Many companies are already using it such as Bland AI and Patreon. You can get $250 GPU credits here: https://lnkd.in/guf3vnbp

You can add Generative AI to Pandas and chat with your dataset with a single line of code. The PandasAI library allows you to analyze complex data frames, plot visualizations, and generate report just by using natural language. Repo in comments. ♻️ Repost this if you found it useful. ↓ Are you technical? Check out https://AlphaSignal.ai to get a daily summary of breakthrough models, repos and papers in AI. Read by 200,000+ devs.

You can now generate a transcript and insights from any call or meeting in real-time. Gladia just released a multilingual transcription API with <300ms latency across 100+ languages. → It can extract insights from your call like sentiment, key information, and conversation summary—in real-time. → Customer support and sales teams can leverage this for highly accurate transcription and actionable insights like sentiment analysis, custom vocabularies, and conversation summaries. → Their plug-and-play API is compatible with any tech stack. Try it out for free: https://lnkd.in/gbF2PC9g