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Howdy! It’s Barsee again.
Happy Friday, AI family, and welcome back to AI Valley 🐶
In today’s edition:
🎥 Runway launches Gen-3 Alpha Turbo
💸 Anthropic’s new Claude prompt caching will save developers a fortune
🔍️ Plus trending AI tools and resources
Ready, set, go…
PARTNER 💫
Meet Hermes 3, the First Full-Parameter Fine-Tuning of Llama 3.1
Nous Research just launched Hermes 3, the first full-parameter fine-tuning of Meta's Llama 3.1 405B model, trained on Lambda's 1-Click Cluster.
Hermes 3 can run on a single node or quickly scale to a multi-node 1-Click Cluster for further fine-tuning using Lambda's scalable cluster infrastructure.
Try your prompts immediately on lambda.chat or use Lambda's Chat Completions API for free.
MAIN SCOOP
Runway launches Gen-3 Alpha Turbo 🎥
Runway ML has officially released Gen-3 Alpha Turbo, the latest version of the AI video generation model that it claims is 7x faster and half the cost of its predecessor, Gen-3 Alpha.
How fast is it?
The new "turbo" version of Runway’s Gen-3 AI model can generate a 10-second video from a single image in just 15 seconds, making video production almost real-time.
How does it compare to the base model?
While the base model handles dynamic motion well, it can sometimes cause distortions or unnatural visual shifts. Turbo, on the other hand, offers more stable and simple motion.
Here are some examples of the side-by-side comparison between the two models.
Anthropic’s new Claude prompt caching will save developers a fortune 💸
Anthropic has recently introduced a Prompt Caching feature with Claude, enhancing its ability to handle repetitive tasks involving large amounts of detailed contextual information.
How Does It Work?
This feature allows Claude to save and reuse prompts by leveraging cached data, leading to cost reductions of up to 90% and latency reductions of up to 85%.
How is it useful?
Given that Anthropic's models have a huge context window of 200,000 tokens, this feature is particularly valuable for working with complex tasks, such as long documents or extensive chat histories.
Why does it matter?
Developers can now cut their operational costs significantly by using cached prompts, which are priced much lower than base input tokens.
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USEFUL AI LINKS
Trending Tools
Kerlig for macOS > Write replies on Slack or Mail, fix spelling, chat with documents, etc.
Sparkle > Create and organize your files automatically using AI.
Elevenstudios by ElevenLabs > Fully managed video and podcast dubbing.
Trellis > Converts unstructured data (like documents, calls, and emails) into structured formats for easy database analysis.
AI Guides / Findings
How I won $2,750 using JavaScript, AI, and a can of WD-40.
How to create an AI-powered Q&A system with your company’s data?
Why are AI-generated images so shiny/glossy?
How to use Gemini to find cheap flight tickets?
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THE LATEST IN
Tech
AI
MIT releases a comprehensive database of AI risks.
California’s controversial AI bill is on the verge of becoming law.
Research AI model unexpectedly modified its own code to extend runtime.
Midjourney releases a web editor to change AI-generated images with tweaks.
Google expands Imagen 3 to all U.S. users via ImageFX.
Primate Labs releases Geekbench 1.0, an AI benchmarking app.
DAILY DOSE OF CONTENTS
1/ Easiest way to create voice-to-voice assistant.
2/ A video call with an AI Agent.
This is wild 🤯
A video call with an AI agent named Carter.
Super uncanny, you can try it yourself using the link in the next post below
*NOT SPONSORED*
— Linus ●ᴗ● Ekenstam (@LinusEkenstam)
10:55 PM • Aug 15, 2024
THAT’S ALL FOR TODAY
Thanks for reading. Until next time!
💡 Help me get better and suggest new ideas at [email protected] or @heyBarsee
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💚 Written and edited by Barsee, Jet, and Akash Thapa.