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zamalย 
posted an update 5 days ago
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1853
๐Ÿš€ ftBoost is LIVE โ€“ Stop Struggling with Fine-Tuning Data!

Alright folks, if youโ€™re tired of manually crafting fine-tuning datasets, ftBoost is here to do the heavy lifting. One-click, LangChain-Groq-powered data augmentation that scales your training data in OpenAI, Gemini, Mistral, and LLaMA formatsโ€”automatically.

๐Ÿ”ฅ Whatโ€™s inside?
โœ… Smart Augmentations โ€“ Paraphrasing, back translation, synonym swapping & synthetic noise.
โœ… No more JSONL headaches โ€“ Auto-formats everything for OpenAI, Gemini, Mistral & LLaMA.
โœ… Custom tuning โ€“ Adjust similarity, diversity, and fluency in real-time.
โœ… Upload, generate, download โ€“ Thatโ€™s it.

โšก If youโ€™re fine-tuning LLMs, this will save you hours.

๐Ÿš€ Try it now: ๐Ÿ‘‰ zamal/Finetune-Boost

๐ŸŒŸ Give us a star on GitHub!

Let me know what you think & how it boosts your workflow! ๐Ÿ”ฅ
awacke1ย 
posted an update 9 days ago
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2290
๐Ÿš€ Blast into the future with ZaxxonGalaxian โ€“ a thrilling 3D action game where you navigate epic battles through towering 3D cityscapes! Face off against relentless swarm bots, climb the leaderboard, and dominate the skies. awacke1/ZaxxoGalaxian
zamalย 
posted an update about 1 month ago
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530
๐Ÿš€ Try Out RAG Demo! ๐Ÿš€

A Hugging Face Space where you can compare DeepSeek-R1 vs Llama-3 using Stuff RAG (Retrieval-Augmented Generation)!

๐Ÿ” Upload a PDF, ask questions, and see how both models perform in real-time!

Try out now:
zamal/Deepseek-R1-vs-LLama3
  • 1 reply
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zamalย 
posted an update about 2 months ago
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1466
zamal/Multimodal-Chat-PDF

๐Ÿš€ Introducing Chat PDF Multimodal ๐Ÿ’ฌ

Interact with your PDF documents like never before! ๐Ÿคฏ
Extract text & images, then ask context-aware questions based on both. Powered by RAG techniques & multimodal LLMs. Perfect for studying, research & more! ๐Ÿ“๐Ÿ‘€
Try it out now!!!! โœ๏ธ

#LlavaNext #MultimodalAI #Transformers
awacke1ย 
posted an update about 2 months ago
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3174
Deep Research Evaluator was asked:
" design a coral defense mechanism that upon sensing say an acid that's causing coral reefs to have a carbon dioxide issue it develops... please create a plan and a design for this\n
"
It picks these three as best combined solution.

1. [Reef-insight: A framework for reef habitat mapping with clustering methods via remote sensing]...
2. Phone a friend: [Learning to Communicate and Collaborate in a Competitive Multi-Agent Setup to Clean the Ocean from Macroplastics]...
3. World Solve: [Dependence of Physiochemical Features on Marine Chlorophyll Analysis with Learning Techniques]


To design a system that allows coralows coral reefs to respond to increased acidity levels in their environment, we can create a network of pH sensors and dispersal units that can detect changes in pH levels and release a base solution to neutralize the acid.

1. pH Sensors: The first component of the system would be a network of pH sensors placed strategically throughout the coral reef. These sensors would be small, durable, and able to withstand the harsh conditions of the ocean. They would be placed at various depths and locations within the reef to ensure accurate and comprehensive monitoring of pH levels.
2. Base Dispersal Units: Once the pH sensors detect a decrease in pH levels, they would trigger the base dispersal units to release a base solution into the water. These units would be strategically placed around the reef and would be able to release a controlled amount of base solution to neutralize the acidity in the water.
3. Water Dispersal Mechanism: The base dispersal units would be connected to a water dispersal mechanism that would allow the base solution to be distributed evenly around the reef. This could be achieved through a series of pipes or channels that would distribute the base solution in a controlled and targeted manner.
awacke1ย 
posted an update 2 months ago
1aurentย 
posted an update 2 months ago
akhaliqย 
posted an update 3 months ago
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12416
Google drops Gemini 2.0 Flash Thinking

a new experimental model that unlocks stronger reasoning capabilities and shows its thoughts. The model plans (with thoughts visible), can solve complex problems with Flash speeds, and more

now available in anychat, try it out: akhaliq/anychat
  • 2 replies
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lunarfluย 
posted an update 3 months ago
akhaliqย 
posted an update 3 months ago
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13013
QwQ-32B-Preview is now available in anychat

A reasoning model that is competitive with OpenAI o1-mini and o1-preview

try it out: akhaliq/anychat
  • 1 reply
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akhaliqย 
posted an update 3 months ago
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4190
New model drop in anychat

allenai/Llama-3.1-Tulu-3-8B is now available

try it here: akhaliq/anychat
xiaozaaย 
posted an update 3 months ago
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2593
Hey everyone! ๐Ÿ‘‹ Just launched a cool virtual try-on demo on Hugging Face Spaces! ๐Ÿš€
Try on any upper body garment with just 3 simple steps:
๐Ÿ“ธ Upload your photo
โœ๏ธ Draw a quick mask
๐Ÿ‘• Add the garment image
Super accurate results and really easy to use! Give it a spin and let me know what you think ๐Ÿค—

Find here:
xiaozaa/catvton-flux-try-on
akhaliqย 
posted an update 3 months ago
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3102
anychat

supports chatgpt, gemini, perplexity, claude, meta llama, grok all in one app

try it out there: akhaliq/anychat
xiaozaaย 
posted an update 3 months ago
xiaozaaย 
posted an update 3 months ago
awacke1ย 
posted an update 4 months ago
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1011
๐Ÿ•Š๏ธHope๐Ÿ•Š๏ธ and โš–๏ธJusticeโš–๏ธ AI
๐Ÿšฒ Stolen bike in Denver FOUND - Sometimes hope & justice DO prevail.

๐ŸŽฌ So I Created an AI+Art+Music tribute:
-๐Ÿง  AI App that Evaluates GPT-4o vs Claude:
awacke1/RescuerOfStolenBikes
https://x.com/Aaron_Wacker/status/1857640877986033980?ref_src=twsrc%5Etfw%7Ctwcamp%5Etweetembed%7Ctwterm%5E1857640877986033980%7Ctwgr%5E203a5022b0eb4c41ee8c1dd9f158330216ac5be1%7Ctwcon%5Es1_c10&ref_url=https%3A%2F%2Fpublish.twitter.com%2F%3Furl%3Dhttps%3A%2F%2Ftwitter.com%2FAaron_Wacker%2Fstatus%2F1857640877986033980

<blockquote class="twitter-tweet"><p lang="en" dir="ltr">QT your ๐Ÿ•Š๏ธHope๐Ÿ•Š๏ธ and โš–๏ธJusticeโš–๏ธ art๐ŸŽจ<br><br>๐Ÿšฒ Stolen bike in Denver FOUND! <br> - Sometimes hope &amp; justice DO prevail! <br><br>๐ŸŽฌ Created an AI+Art+Music tribute: <br> -๐Ÿง  AI App that Evaluates GPT-4o vs Claude: <a href="https://t.co/odrYdaeizZ">https://t.co/odrYdaeizZ</a><br> <a href="https://twitter.com/hashtag/GPT?src=hash&amp;ref_src=twsrc%5Etfw">#GPT</a> <a href="https://twitter.com/hashtag/Claude?src=hash&amp;ref_src=twsrc%5Etfw">#Claude</a> <a href="https://twitter.com/hashtag/Huggingface?src=hash&amp;ref_src=twsrc%5Etfw">#Huggingface</a> <a href="https://twitter.com/OpenAI?ref_src=twsrc%5Etfw">@OpenAI</a> <a href="https://twitter.com/AnthropicAI?ref_src=twsrc%5Etfw">@AnthropicAI</a> <a href="https://t.co/Q9wGNzLm5C">pic.twitter.com/Q9wGNzLm5C</a></p>&mdash; Aaron Wacker (@Aaron_Wacker) <a href="https://twitter.com/Aaron_Wacker/status/1857640877986033980?ref_src=twsrc%5Etfw">November 16, 2024</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>


#GPT #Claude #Huggingface
@OpenAI
@AnthropicAI
awacke1ย 
posted an update 4 months ago
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Since 2022 I have been trying to understand how to support advancement of the two best python patterns for AI development which are:
1. Streamlit
2. Gradio

The reason I chose them in this order was the fact that the streamlit library had the timing drop on gradio by being available with near perfection about a year or two before training data tap of GPT.

Nowadays its important that if you want current code to be right on generation it requires understanding of consistency in code method names so no manual intervention is required with each try.

With GPT and Claude being my top two for best AI pair programming models, I gravitate towards streamlit since aside from common repeat errors on cache and experimental functions circa 2022 were not solidified.
Its consistency therefore lacks human correction needs. Old dataset error situations are minimal.

Now, I seek to make it consistent on gradio side. Why? Gradio lapped streamlit for blocks paradigm and API for free which are I feel are amazing features which change software engineering forever.

For a few months I thought BigCode would become the new best model due to its training corpus datasets, yet I never felt it got to market as the next best AI coder model.

I am curious on Gradio's future and how. If the two main models (GPT and Claude) pick up the last few years, I could then code with AI without manual intervention. As it stands today Gradio is better if you could get the best coding models to not repeatedly confuse old syntax as current syntax yet we do live in an imperfect world!

Is anyone using an AI pair programming model that rocks with Gradio's latest syntax? I would like to code with a model that knows how to not miss the advancements and syntax changes that gradio has had in the past few years. Trying grok2 as well.

My IDE coding love is HF. Its hands down faster (100x) than other cloud paradigms. Any tips on models best for gradio coding I can use?

--Aaron
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zamalย 
posted an update 5 months ago
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๐Ÿš€ Announcement for the Lovely community! ๐Ÿš€

Just launched the zamal/DeepSeek-VL-1.3B-Chat on Hugging Face, and it's ready for YOU to explore! ๐Ÿ’ฌ๐Ÿ–ผ๏ธ

This full-fledged model is perfect for advanced image and text interactions, with zero GPU required. The Deepseek VL-1.3B Chat typically needs around 8 GB of VRAM and storage of almost 4 GB, but now you can experience it hassle-free right on our space!

Want something lighter? Weโ€™ve also uploaded a 4 bit quantized version (just around 1GB!), available on my profile. Perfect for those with limited hardware. ๐ŸŒ๐Ÿ”

Come try it now and see what this model can do! ๐Ÿš€โœจ
awacke1ย 
posted an update 5 months ago
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Today I was able to solve a very difficult coding session with GPT-4o which ended up solving integrations on a very large scale. So I decided to look a bit more into how its reasoners work. Below is a fun markdown emoji outline about what I learned today and what I'm pursuing.

Hope you enjoy! Cheers, Aaron.

Also here are my favorite last 4 spaces I am working on:
1. GPT4O: awacke1/GPT-4o-omni-text-audio-image-video
2. Claude:
awacke1/AnthropicClaude3.5Sonnet-ACW
3. MSGraph M365: awacke1/MSGraphAPI
4. Azure Cosmos DB: Now with Research AI! awacke1/AzureCosmosDBUI

# ๐Ÿš€ OpenAI's O1 Models: A Quantum Leap in AI

## 1. ๐Ÿค” From ๐Ÿฆœ to ๐Ÿง : O1's Evolution

- **Thinking AI**: O1 ponders before replying; GPT models just predict. ๐Ÿ’ก

## 2. ๐Ÿ“š AI Memory: ๐Ÿ’พ + ๐Ÿงฉ = ๐Ÿง 

- **Embeddings & Tokens**: Words โžก๏ธ vectors, building knowledge. ๐Ÿ“–

## 3. ๐Ÿ” Swift Knowledge Retrieval

- **Vector Search & Indexing**: O1 finds info fast, citing reliable sources. ๐Ÿ”Ž๐Ÿ“–

## 4. ๐ŸŒณ Logic Trees with Mermaid Models

- **Flowchart Reasoning**: O1 structures thoughts like diagrams. ๐ŸŽจ๐ŸŒ

## 5. ๐Ÿ’ป Coding Mastery

- **Multilingual & Current**: Speaks many code languages, always up-to-date. ๐Ÿ’ป๐Ÿ”„

## 6. ๐Ÿ† Breaking Records

- **92.3% MMLU Score**: O1 outperforms humans, setting new AI standards. ๐Ÿ…

## 7. ๐Ÿ’ก Versatile Applications

- **Ultimate Assistant**: From fixing code to advancing research. ๐Ÿ› ๏ธ๐Ÿ”ฌ

## 8. ๐Ÿ Racing Toward AGI

- **OpenAI Leads**: O1 brings us closer to true AI intelligence. ๐Ÿš€

## 9. ๐Ÿค– O1's Reasoning Pillars

- **๐Ÿง  Chain of Thought**: Step-by-step logic.
- **๐ŸŽฒ MCTS**: Simulates options, picks best path.
- **๐Ÿ” Reflection**: Self-improves autonomously.
- **๐Ÿ‹๏ธโ€โ™‚๏ธ Reinforcement Learning**: Gets smarter over time.

---

*Stay curious, keep coding!* ๐Ÿš€
awacke1ย 
posted an update 5 months ago
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I have finally completed a working full Azure and Microsoft MS Graph API implementation which can use all the interesting MS AI features in M365 products to manage CRUD patterns for the graph features across products.

This app shows initial implementation of security, authentication, scopes, and access to Outlook, Calendar, Tasks, Onedrive and other apps for CRUD pattern as AI agent service skills to integrate with your AI workflow.


Below are initial screens showing integration:

URL: awacke1/MSGraphAPI
Discussion: awacke1/MSGraphAPI#5

Best of AI on @Azure and @Microsoft on @HuggingFace :
https://huggingface.co/microsoft
https://www.microsoft.com/en-us/research/
---
Aaron