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The point is all big companies are pouring billions of amount into LLM’s I.e Generative AI … but Meta is not interested though …. So far none is succeed other than hype — hope this is beginning.
Meta was one of the early players to launch the chatbot I.e Blender Bot3. But it was short-lived. Now they are not interested to do any such LLM
The point is all big companies are pouring billions of amount into LLM’s I.e Generative AI … but Meta is not interested though …. So far none is succeed other than hype — hope this is beginning.
Meta was one of the early players to launch the chatbot I.e Blender Bot3. But it was short-lived. Now they are not interested to do any such LLM
German AI startup Aleph__Alpha claims it will have a 300-billion parameter Large Language Model "Luminous-World" trained this year for “highly complex and critical applications”
(GPT-3 has 175 billion parameters)
A German AI startup just might have a GPT-4 competitor this year.
Other attention :::
Don't forget Wu Dao 2.0 that has 1.75T parameters. Yes, ten times that of GPT-3. The Chinese are quickly catching up, if not already ahead of any western AIs.
(GPT-3 has 175 billion parameters)
A German AI startup just might have a GPT-4 competitor this year.
Other attention :::
Don't forget Wu Dao 2.0 that has 1.75T parameters. Yes, ten times that of GPT-3. The Chinese are quickly catching up, if not already ahead of any western AIs.
Breaking AI news
Andrew Ng launched new AI platform : https://landing.ai/
Landing AI is releasing our computer vision tool for anyone to use! You can label images, train a model, and deploy your model to production in minutes. Our data-centric tool then helps you improve your model quickly. Start for free
Seriously this is amazing for developers and small scale companies etc
Andrew Ng launched new AI platform : https://landing.ai/
Landing AI is releasing our computer vision tool for anyone to use! You can label images, train a model, and deploy your model to production in minutes. Our data-centric tool then helps you improve your model quickly. Start for free
Seriously this is amazing for developers and small scale companies etc
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Wist Labs is working on the ability to replay memories by superimposing video into an Augmented Reality environment.
With enough training data, AI could potentially allow you to “continue” a memory, or play out an alternate ending to it.
With enough training data, AI could potentially allow you to “continue” a memory, or play out an alternate ending to it.
Few days back, my comment was Meta not working on LLM’s but today Mark released their research of work and white paper to AI community. https://ai.facebook.com/blog/large-language-model-llama-meta-ai/
Remember this is just state of the art
Remember this is just state of the art
ChatGPT and Whisper models are now available on OpenAI API, giving developers access to cutting-edge language (not just chat!) and speech-to-text capabilities. This announcement was made on 1st March! For more : https://openai.com/blog/introducing-chatgpt-and-whisper-apis
BharatGPT, CoRover’s LLM: This is really impressive. Data resides in India only. Trained with 1B+ params. So many features than ChatGPT. https://corover.ai/bharatgpt/
The future of AI is finally here, and it’s a game-changer for software developers. Microsoft AI ecosystem enables developers to integrate LLM AI capabilities easily into their apps.
Semantic Kernel (SK): The new face of AI-powered development, packaged in a lightweight, easy-to-use, SDK.
Video Tutorial: https://www.linkedin.com/learning/introducing-semantic-kernel-building-ai-based-apps/introducing-semantic-kernel?autoplay=true&resume=false
Github (.NET) : https://github.com/microsoft/semantic-kernel
Github (Python): https://github.com/microsoft/semantic-kernel/tree/python-preview
MSFT blog: https://devblogs.microsoft.com/semantic-kernel/hello-world/
Semantic Kernel (SK): The new face of AI-powered development, packaged in a lightweight, easy-to-use, SDK.
Video Tutorial: https://www.linkedin.com/learning/introducing-semantic-kernel-building-ai-based-apps/introducing-semantic-kernel?autoplay=true&resume=false
Github (.NET) : https://github.com/microsoft/semantic-kernel
Github (Python): https://github.com/microsoft/semantic-kernel/tree/python-preview
MSFT blog: https://devblogs.microsoft.com/semantic-kernel/hello-world/
Get access to Bard in US + UK with more countries ahead, it's an early experiment that lets you collaborate with generative AI. Hope Bard sparks more creativity and curiosity, and will get better with feedback. Sign up: http://bard.google.com
- Google opens up their Bard LLM.
- NVIDIA launches cloud tools for Generative AI.
- Adobe announces Firefly, an AI image creator.
- Microsoft unveils Bing Image Creator.
- NVIDIA launches cloud tools for Generative AI.
- Adobe announces Firefly, an AI image creator.
- Microsoft unveils Bing Image Creator.
Databricks releases Dolly 2.0!
Here's what you need to know:
- This model is a 12B parameter language model based on EleutherAI Pythia model family.
- It's fine-tuned on 15K high-quality human-generated prompt/response pairs (crowdsourced among Databricks employees) for instruction tuning LLMs.
- Dolly 2.0 is open-sourced, including training code, dataset, and model weights.
- The best part is that it's suitable for commercial use! This is one of the big limitations of previous instruction-following models like Alpaca, Koala, GPT4All, and Vicuna.
Model weights : https://huggingface.co/databricks/dolly-v2-12b
Blog : https://www.databricks.com/blog/2023/04/12/dolly-first-open-commercially-viable-instruction-tuned-llm
Here's what you need to know:
- This model is a 12B parameter language model based on EleutherAI Pythia model family.
- It's fine-tuned on 15K high-quality human-generated prompt/response pairs (crowdsourced among Databricks employees) for instruction tuning LLMs.
- Dolly 2.0 is open-sourced, including training code, dataset, and model weights.
- The best part is that it's suitable for commercial use! This is one of the big limitations of previous instruction-following models like Alpaca, Koala, GPT4All, and Vicuna.
Model weights : https://huggingface.co/databricks/dolly-v2-12b
Blog : https://www.databricks.com/blog/2023/04/12/dolly-first-open-commercially-viable-instruction-tuned-llm
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2022: Text-to-image 2023: Text-to-video 2024: Text-to-root canal
🎉TensorFlow Datasets 4.9 is out!
The new version comes with more datasets and extended support for JAX and PyTorch!
Check out the documentation ➡️ https://goo.gle/3nYACzj
The new version comes with more datasets and extended support for JAX and PyTorch!
Check out the documentation ➡️ https://goo.gle/3nYACzj
TensorFlow
TFDS for Jax and PyTorch | TensorFlow Datasets