#data #machinelearning #datascience #llm
No more pip install gradio needed - just import and start building AI apps instantly.
Thanks to @GoogleColab team for making Gradio more accessible to millions of developers worldwide!
For anyone moving from .Rmd to .qmd who wants a cleaner on-ramp: meet Quoncierge.
🔗 github.com/lkwhite/Quoncierge
#positron #quarto #rstats #datascience #reproducibility #jupyter
For anyone moving from .Rmd to .qmd who wants a cleaner on-ramp: meet Quoncierge.
🔗 github.com/lkwhite/Quoncierge
#positron #quarto #rstats #datascience #reproducibility #jupyter
strava.app.link/A27owlCaQUb
strava.app.link/A27owlCaQUb
1. Attention and its types
2. Working of attention mechanism
3. Positional encoding and types
4. Layer norm and residual
1. Attention and its types
2. Working of attention mechanism
3. Positional encoding and types
4. Layer norm and residual
The attention mechanism was introduced to improve the performance of encoder-decoder architecture for machine translation task.
Traditional RNN struggle with long-range dependencies and Attention helps focus on relevant parts of the input sequence.
The attention mechanism was introduced to improve the performance of encoder-decoder architecture for machine translation task.
Traditional RNN struggle with long-range dependencies and Attention helps focus on relevant parts of the input sequence.
Handoffs are a central concept in multi-agent systems.
LangGraph swarm is built on them.
But, they can be hard to understand.
Here, we break-down the swarm handoff mechanism.
📽️:
youtu.be/WTr6mHTw5cM
www.freecodecamp.org/news/learn-l...
Unsloth finetunes VLMs 2x faster, with 50% less VRAM, 6x longer context - with no accuracy loss.
Other VLMs like Qwen2-VL, Llava & Pixtral are supported.
Blog: unsloth.ai/blog/vision
Fine-tuning Colabs: docs.unsloth.ai/get-started/...
Unsloth finetunes VLMs 2x faster, with 50% less VRAM, 6x longer context - with no accuracy loss.
Other VLMs like Qwen2-VL, Llava & Pixtral are supported.
Blog: unsloth.ai/blog/vision
Fine-tuning Colabs: docs.unsloth.ai/get-started/...
We think neuro and ML both aim to understand intelligence, and so it's good to know a bit of both to inspire new ideas that neither field might find on their own.
neuro4ml.github.io
We think neuro and ML both aim to understand intelligence, and so it's good to know a bit of both to inspire new ideas that neither field might find on their own.
neuro4ml.github.io
Just released, hot off the press: Gemini model compatibility with the OpenAI library.
developers.googleblog.com/en/gemini-is...
Just released, hot off the press: Gemini model compatibility with the OpenAI library.
developers.googleblog.com/en/gemini-is...