OpenAI Feather - The next big thing? 🤔

PLUS: Phind-70B beats GPT-4 Turbo, YOLOv9 with incredible object detection accuracy

Today’s top AI Highlights:

1. OpenAI Feather suddenly becomes the talk of the AI town

2. Phind-70B Surpasses GPT-4 Turbo in Code Quality and Speed

3. YOLOv9: the future of object detection is here

4. Automate repetitive tasks by just showing it once to the AI

& so much more!

Read time: 3 mins

Latest Developments 🌍

OpenAI Feather takes up the Internet 🔥

Yesterday, many people on the internet noticed a new domain from OpenAI mentioning what might be a new offering from them called “OpenAI Feathers”. According to some speculations from the AI community, it could be a suite of Enterprise AI platform-as-a-service offering Data processing, Data labeling, RAG, and fine-tuning.

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According to the United States Patent and Trademark Office, OpenAI Feather could be:

"Data labeling and annotation services, namely, data processing and systemization services using automated labeling and annotating of images, audio, video, text and other forms of electronic data; updating and maintenance of data in computer databases; data processing services; compilation and management of computerized databases and consulting services related"

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Phind-70B Surpasses GPT-4 Turbo in Code Gen 🧑‍💻

Phind-70B outperforms GPT-4 Turbo in code quality and speed, offering developers a superior coding experience. With enhancements from the CodeLlama-70B model and additional fine-tuning, it delivers high-quality, fast responses for technical queries, setting a new standard in developer tools.

Key Highlights:

1. Exceptional Performance: Achieves a HumanEval score of 82.3%, surpassing GPT-4 Turbo, with a context window of 32K tokens.

2. Unmatched Speed: Runs at more than 80 tokens per second, four times faster than GPT-4 Turbo, enhancing productivity for developers.

3. Open-Source Commitment: Plans to release the weights for Phind-34B soon, with Phind-70B to follow, reinforcing our dedication to the open-source community.

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YOLOv9: The Future of Object Detection is Here ⚽️

YOLOv9 is a state-of-the-art computer vision model that introduces two new architectures: YOLOv9 and GELAN, both of which are usable from the yolov9 Python repository released with the paper. Using the YOLOv9 model, you can train an object detection model. segmentation, classification, and other task types are not supported at this time.

What makes YOLOv9 different?

1. Unmatched Accuracy: Outperforms all existing train-from-scratch methods, even beating heavyweights pre-trained on massive datasets!

2. Innovative PGI System: Introducing Programmable Gradient Information (PGI) to ensure no detail is missed, making your model smarter and more reliable.

3. Speed and Lightness: With the new GELAN architecture, enjoy lightning-fast detection without the heavy computational load.

4. Revolutionary Design: A game-changer in handling data loss and ensuring information richness through every layer of the network.

Why YOLOv9?

1. Beats RT DETR and YOLO MS in accuracy and efficiency.

2. Uses conventional convolution for better parameter utilization, setting new standards in lightweight model performance.

Want to try it out? Grab the source code now at GitHub Repo

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AI Learning Hour 📚

Microsoft just dropped version 2 of Generative AI for beginners with 15 FREE courses. Start learning today with these AI courses 👉 Click Here!

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Tools of the Trade ⚒️

1. HyperWriteAI Agent Studio: Automate boring repetitive tasks by simply showing once by doing it yourself. Record the video after which the AI can replicate the process. You can customize your workflows, including decision-making processes and variables, making it versatile for tasks that may vary slightly each time.

2. Strada: Combines the speed of low-code development with the flexibility of coding. It is designed to streamline automation by letting you write workflow logic in Python, integrate apps, and deploy automations with a single click, all while offering scalability and detailed logging for each workflow step.

3. Danswer: Opensource AI-powered search engine to streamline information retrieval across a company's documents, apps, and personnel. It supports over 25 integrations, offers AI responses that reference real sources, and can be self-hosted for free.

4. OmniAI: Transform unstructured data into beautiful structured SQL tables within existing data warehouses, without the need for engineering time or model calibration.

😍 Enjoying so far, TWEET NOW to share with your friends!

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Hot Takes 🔥

What they're thinking right now:
Sundar Pichai: "Damn, I knew releasing a chatbot was a bad idea."
Satya Nadella: "Wow, we didn't just make Google dance, we made them fall on their face."
Sam Altman: "Yay, Gemini almost makes ChatGPT look like it's not woke."
Mark Zuckerberg: "Nice, Republican congressmen will be so busy with Sundar they won't have any time for me anymore."
Tim Cook: "No! I don't want AI to exist! No!"
Jensen Huang: "You know, Sundar, you could avoid all this with a 1000X bigger/smarter LLM. Just sayin' . . ."
Elon Musk: "Yikes, only I can save freedom and democracy by making sure the next Falcon Heavy crashes onto the Googleplex." ~ Pedro Domingos

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Meme of the Day 🤡

Love this shot of Jensen Huang from the NVIDIA Q4 results announcement

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That’s all for today!

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