DeepL’s New LLM Crushes GPT-4, Google, and Microsoft
Plus: Salesforce debuts Einstein service agent, Ex-OpenAI researcher launches AI-native education startup.
Hello Engineering Leaders and AI Enthusiasts!
Welcome to the 320th edition of The AI Edge newsletter. This edition features DeepL’s translational AI challenging GPT-4 and more.
And a huge shoutout to our amazing readers. We appreciate you😊
In today’s edition:
🏆 DeepL’s new LLM crushes GPT-4, Google, and Microsoft
🤖 Salesforce debuts Einstein service agent
👨🏫 Ex-OpenAI researcher launches AI education company
🧠 Knowledge Nugget: How to Summarize YouTube Video using ChatGPT Api and Node.js by
Let’s go!
DeepL’s new LLM crushes GPT-4, Google, and Microsoft
The next-generational language model for DeepL translator specializes in translating and editing texts. Blind tests showed that language professionals preferred its natural translations 1.3 times more often than Google Translate and 1.7 times more often than ChatGPT-4.
Here’s what makes it stand out:
While Google’s translations need 2x edits, and ChatGPT-4 needs 3x more edits, DeepL’s new LLM requires much fewer edits to achieve the same translation quality, efficiently outperforming other models.
The model uses DeepL’s proprietary training data, specifically fine-tuned for translation and content generation.
To train the model, a combination of AI expertise, language specialists, and high-quality linguistic data is used, which helps it produce more human-like translations and reduces hallucinations and miscommunication.
Why does it matter?
DeepL AI’s exceptional translation quality will significantly impact global communications for enterprises operating across multiple languages. As the AI model raises the bar for AI translation tools everywhere, it begs the question: Will Google, ChatGPT, and Microsoft’s translational models be replaced entirely?
Salesforce debuts Einstein service agent
The new Einstein service agent offers customers a conversational AI interface, takes actions on their behalf, and integrates with existing customer data and workflows.
The Einstein 1 platform's service AI agent offers diverse capabilities, including autonomous customer service, generative AI responses, and multi-channel availability. It processes various inputs, enables quick setup, and provides customization while ensuring data protection.
Salesforce demonstrated the AI's abilities through a simulated interaction with Pacifica AI Assistant. The AI helped a customer troubleshoot an air fryer issue, showcasing its practical problem-solving skills in customer service scenarios.
Why does it matter?
Einstein Service Agent’s features, like 24x7 availability, sophisticated reasoning, natural responses, and cross-channel support, could significantly reduce wait times, improve first-contact resolution rates, and enhance customer service delivery.
(Source)
Ex-OpenAI researcher launches AI education company
In a Twitter post, ex-Tesla director and former OpenAI co-founder Andrej Karpathy announced the launch of EurekaLabs, an AI+ education startup.
EurekaLabs will be a native AI company using generative AI as a core part of its platform. The startup shall build on-demand AI teaching assistants for students by expanding on course materials designed by human teachers.
Karpathy states that the company’s first product would be an undergraduate-level class, empowering students to train their own AI systems modeled after EurekaLabs’ teaching assistant.
Why does it matter?
This venture could potentially democratize education, making it easier for anyone to learn complex subjects. Moreover, the teacher-AI symbiosis could reshape how we think about curriculum design and personalized learning experiences.
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Knowledge Nugget: How to Summarize YouTube Video using ChatGPT Api and Node.js
In this article, software engineer
showcases how he has developed a Node.js system that generates summaries of YouTube videos using OpenAI's completions API.The system works by scraping YouTube's automatic captions, chunking the text into manageable pieces, and finally generating a concise summary using a recursive summarization approach with OpenAI's API. Marco implemented the text extraction in-house rather than relying on third-party APIs to keep costs down.
The system overcomes OpenAI's API's 4,000 token limit by splitting the text into chunks and summarizing them recursively.
Why does it matter?
The tool demonstrates a practical application of AI for content summarization. It also showcases innovative problem-solving in AI implementation by overcoming token limits through recursive summarization.
What Else Is Happening❗
🌍 Google is going open-source with AI agent Oscar!
The platform will enable developers to create AI agents that work across various SDLC stages, such as development, planning, runtime, and support. Oscar might also be released for closed-source projects in the future. (Link)
🎨 Microsoft’s AI designer releases for iOS and Android
Microsoft Designer is now available as a free mobile app. It supports 80 languages and offers prompt templates, enabling users to create stickers, greeting cards, invitations, collages, and more via text prompts. (Link)
🤳 Tencent’s new AI app turns photos into 3D characters
The 3D Avatar Dream Factory app uses 3D head swapping, geometric sculpting, and PBR material texture mapping to let users create realistic, detailed 3D models from single images that can be shared, modified, and printed. (Link)
🆚 OpenAI makes AI models fight for accuracy
It uses a “prover-verifier” training method, where a stronger GPT-4 model is a “prover” offering solutions to problems, and a weaker GPT-4 model is a “verifier” that checks those solutions. OpenAI aims to train its prover models to produce easily understandable solutions for the verifier, furthering transparency. (Link)
🔮 Can AI solve real-world problems by predicting tipping points?
Researchers have broken new ground in AI by using ML algorithms to predict the onset of tipping points in complex systems. They claim the technique can solve real-world problems like predicting floods, power outages, or stock market crashes. (Link)
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