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- AI startup's shocking victory
AI startup's shocking victory
Plus: Amazon's game-changer
Welcome Humans🤖,
Here is what we have Today:
🏆 Small AI Startup Outsmarts Tech Giants
📦 Amazon's laser-guided AI delivery
🛒 AI shopping guides
💼 New Job Opportunities
Writer
AI startup Writer's Palmyra X 004 model tops Berkeley's Tool Calling Leaderboard, outperforming tech giants like OpenAI and Anthropic in action capabilities and function calling in enterprise AI.
Source: Writer
How does it compare?
Beats OpenAI, Anthropic, Meta, and Google by nearly 20% accuracy
150B parameters, trained primarily on synthetic data
Significantly lower training costs compared to top AI labs
What can it do?
Offers 128k context window
Supports 30+ languages
Handles text, images, and audio inputs
Performs concrete actions like updating databases and sending emails
How was it achieved?
Used synthetic data for training
Focused on practical, actionable capabilities
Emphasized efficiency over massive computing power
Why should we care?
Shows smaller companies can compete with tech giants
Meets growing demand for action-taking AI in enterprises
Proves efficient training methods can match resource-intensive approaches
What's next?
Potential shift in enterprise AI market dynamics
May inspire new approaches to AI model development
Could accelerate adoption of action-capable AI in businesses
This development suggests that the AI race isn't just about computing power, but also about innovative approaches to model training and capability development and Palmyra X 004's impressive skills could give Writer a new edge in the enterprise AI market
Together With Writer
Writer RAG tool: build production-ready RAG apps in minutes
RAG in just a few lines of code? We’ve launched a predefined RAG tool on our developer platform, making it easy to bring your data into a Knowledge Graph and interact with it with AI. With a single API call, writer LLMs will intelligently call the RAG tool to chat with your data.
Integrated into Writer’s full-stack platform, it eliminates the need for complex vendor RAG setups, making it quick to build scalable, highly accurate AI workflows just by passing a graph ID of your data as a parameter to your RAG tool.
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Amazon introduced AI Shopping Guides for over 100 product types, leveraging generative AI to streamline product research and offer tailored recommendations within its U.S. app and mobile website.
Amazon has developed a package retrieval system—called Vision-Assisted Package Retrieval (VAPR)—that uses computer vision, AI, and spotlights to help drivers instantly find the packages they need to deliver at each stop, shaving seconds of each package delivery.
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