Finally found a way to explain what we do in a single image.
AlphaSignal
研究服务
Austin,Texas 58,586 位关注者
The most read source of technical news in AI. We help you stay up to date with the latest news, research, models.
关于我们
We cover the top news, research, repos, and models in AI. Join the 190,000+ engineers/researchers reading our technical newsletter.
- 网站
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https://rebrand.ly/z7h64mq
AlphaSignal的外部链接
- 所属行业
- 研究服务
- 规模
- 2-10 人
- 总部
- Austin,Texas
- 类型
- 私人持股
- 创立
- 2020
- 领域
- Machine Learning、Deep Learning、Artificial Intelligence、Research和Generative AI
地点
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主要
US,Texas,Austin
AlphaSignal员工
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kavindu eshara
AI researcher | software engineer | ABSOL X CORE AI | aka FOX | Mastering the art of AI
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Igor Tica
Applied Scientist @ Microsoft | ex SmartCat.io
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Lior Sinclair
Lior Sinclair是领英影响力人物 Covering the latest in AI R&D ? ML-Engineer ? MIT Lecturer ? Building AlphaSignal, a newsletter read by 200,000+ AI engineers.
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Alpha Investment
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动态
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AlphaSignal转发了
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
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AlphaSignal转发了
Covering the latest in AI R&D ? ML-Engineer ? MIT Lecturer ? Building AlphaSignal, a newsletter read by 200,000+ AI engineers.
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
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AlphaSignal转发了
Covering the latest in AI R&D ? ML-Engineer ? MIT Lecturer ? Building AlphaSignal, a newsletter read by 200,000+ AI engineers.
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
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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.
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AlphaSignal转发了
Covering the latest in AI R&D ? ML-Engineer ? MIT Lecturer ? Building AlphaSignal, a newsletter read by 200,000+ AI engineers.
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
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AlphaSignal转发了
The best virtual (and free) conference on Generative AI is happening in just 2 days (October 30th). "GenAI Productionize 2.0" by Galileo ?? will have leading AI experts share insights on scaling generative AI, governance, real-time monitoring, and maximizing ROI on AI investments. You'll gain practical strategies from NVIDIA, Twilio, Cohere, and Databricks on streamlining AI pipelines and enhancing evaluation techniques. Don’t miss speakers like: - Sara Hooker, VP of Research, Cohere - Chip Huyen, VP of AI, Voltron Data - Bob van Luijt, CEO, Weaviate Registration: https://lnkd.in/gjZYSpb9
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DeepMind's latest robot can play table tennis. It’s the first agent to achieve amateur human level performance in this sport. Once deployed to the real world, it collects data on its performance against humans to refine its skills back in simulation - creating a continuous feedback loop. Source: https://lnkd.in/ddczMxm8 ?? 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.
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There's a new model going viral on Github. It allows you to generate a live-stream deepfake from a SINGLE image. It's incredible. You just have to: 1. Select a face 2. Click live 3. Wait for a few seconds https://lnkd.in/gyRDE-dV ↓ 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.
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AlphaSignal转发了
Covering the latest in AI R&D ? ML-Engineer ? MIT Lecturer ? Building AlphaSignal, a newsletter read by 200,000+ AI engineers.
Google may have just changed the Podcast industry forever. Last week, they released an update of their NotebookLM that allows you to create on-demand podcast on whatever source materials you give it it. The most impressive feature is the ability to generate a 2-person podcast episode based on any content you upload. Karpathy even started his new LLM-powered podcast series called "Histories of Mysteries", you can find it on spotify here: https://lnkd.in/gi74rjFz His process: - I researched cool topics using ChatGPT, Claude, Google - I linked NotebookLM to the Wikipedia entry of each topic and generated the podcast audio - I used NotebookLM to also write the podcast/episode descriptions. - Ideogram to create all digital art for the episodes and the podcast itself - Spotify to upload and host the podcast Google's Notebook ML: https://lnkd.in/ga3sS_hZ ↓ 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.