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reacted to as-cle-bert's post with ๐Ÿค— 12 days ago
Finding a job that matches with our resume shouldn't be difficult, especially now that we have AI... And still, we're drowning in unclear announcements, jobs whose skill requirements might not really fit us, and tons of material๐Ÿ˜ตโ€๐Ÿ’ซ That's why I decided to build ๐‘๐ž๐ฌ๐ฎ๐ฆ๐ž ๐Œ๐š๐ญ๐œ๐ก๐ž๐ซ (https://github.com/AstraBert/resume-matcher), a fully open-source application that scans your resume and searches the web for jobs that match with it!๐ŸŽ‰ The workflow is very simple: ๐Ÿฆ™ A LlamaExtract agent parses the resume and extracts valuable data that represent your profile ๐Ÿ—„๏ธThe structured data are passed on to a Job Matching Agent (built with LlamaIndex๐Ÿ˜‰) that uses them to build a web search query based on your resume ๐ŸŒ The web search is handled by Linkup, which finds the top matches and returns them to the Agent ๐Ÿ”Ž The agent evaluates the match between your profile and the jobs, and then returns a final answer to you So, are you ready to find a job suitable for you?๐Ÿ’ผ You can spin up the application completely locally and with Docker, starting from the GitHub repo โžก๏ธ https://github.com/AstraBert/resume-matcher Feel free to leave your feedback and let me know in the comments if you want an online version of Resume Matcher as well!โœจ
reacted to as-cle-bert's post with โค๏ธ 12 days ago
Finding a job that matches with our resume shouldn't be difficult, especially now that we have AI... And still, we're drowning in unclear announcements, jobs whose skill requirements might not really fit us, and tons of material๐Ÿ˜ตโ€๐Ÿ’ซ That's why I decided to build ๐‘๐ž๐ฌ๐ฎ๐ฆ๐ž ๐Œ๐š๐ญ๐œ๐ก๐ž๐ซ (https://github.com/AstraBert/resume-matcher), a fully open-source application that scans your resume and searches the web for jobs that match with it!๐ŸŽ‰ The workflow is very simple: ๐Ÿฆ™ A LlamaExtract agent parses the resume and extracts valuable data that represent your profile ๐Ÿ—„๏ธThe structured data are passed on to a Job Matching Agent (built with LlamaIndex๐Ÿ˜‰) that uses them to build a web search query based on your resume ๐ŸŒ The web search is handled by Linkup, which finds the top matches and returns them to the Agent ๐Ÿ”Ž The agent evaluates the match between your profile and the jobs, and then returns a final answer to you So, are you ready to find a job suitable for you?๐Ÿ’ผ You can spin up the application completely locally and with Docker, starting from the GitHub repo โžก๏ธ https://github.com/AstraBert/resume-matcher Feel free to leave your feedback and let me know in the comments if you want an online version of Resume Matcher as well!โœจ
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reacted to as-cle-bert's post with ๐Ÿค—โค๏ธ 12 days ago
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2964
Finding a job that matches with our resume shouldn't be difficult, especially now that we have AI... And still, we're drowning in unclear announcements, jobs whose skill requirements might not really fit us, and tons of material๐Ÿ˜ตโ€๐Ÿ’ซ
That's why I decided to build ๐‘๐ž๐ฌ๐ฎ๐ฆ๐ž ๐Œ๐š๐ญ๐œ๐ก๐ž๐ซ (https://github.com/AstraBert/resume-matcher), a fully open-source application that scans your resume and searches the web for jobs that match with it!๐ŸŽ‰
The workflow is very simple:
๐Ÿฆ™ A LlamaExtract agent parses the resume and extracts valuable data that represent your profile
๐Ÿ—„๏ธThe structured data are passed on to a Job Matching Agent (built with LlamaIndex๐Ÿ˜‰) that uses them to build a web search query based on your resume
๐ŸŒ The web search is handled by Linkup, which finds the top matches and returns them to the Agent
๐Ÿ”Ž The agent evaluates the match between your profile and the jobs, and then returns a final answer to you

So, are you ready to find a job suitable for you?๐Ÿ’ผ You can spin up the application completely locally and with Docker, starting from the GitHub repo โžก๏ธ https://github.com/AstraBert/resume-matcher
Feel free to leave your feedback and let me know in the comments if you want an online version of Resume Matcher as well!โœจ
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reacted to albertvillanova's post with ๐Ÿค— 12 days ago
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2446
smolagents v1.14.0 is out! ๐Ÿš€
๐Ÿ”Œ MCPClient: A sleek new client for connecting to remote MCP servers, making integrations more flexible and scalable.
๐Ÿชจ Amazon Bedrock: Native support for Bedrock-hosted models.
SmolAgents is now more powerful, flexible, and enterprise-ready. ๐Ÿ’ผ

Full release ๐Ÿ‘‰ https://github.com/huggingface/smolagents/releases/tag/v1.14.0
#smolagents #LLM #AgenticAI
reacted to samihalawa's post with ๐Ÿ‘€๐Ÿ”ฅ 12 days ago
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2408
SkyReels-V2 INFINITE VIDEO๐Ÿ”ฅโ™พ๏ธ๐ŸŽฌ UNLIMITED duration video generation model by Skywork.

> โ€œFinally is here. An Open-Source model that achieves what we all have waiting for: Infinite Length Videos.โ€™โ€™๐Ÿ˜ฎ

Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought (2504.05599)

Model: Skywork/SkyReels-V2-T2V-14B-720P

โœจ 1.3B & 14B
โœจ Generates infinite length videos using Diffusion Forcing with diffusion models + autoregressive methods
reacted to davidberenstein1957's post with ๐Ÿš€ 12 days ago
reacted to Kseniase's post with ๐Ÿ‘๐Ÿค 12 days ago
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6977
11 new types of RAG

RAG is evolving fast, keeping pace with cutting-edge AI trends. Today it becomes more agentic and smarter at navigating complex structures like hypergraphs.

Here are 11 latest RAG types:

1. InstructRAG -> InstructRAG: Leveraging Retrieval-Augmented Generation on Instruction Graphs for LLM-Based Task Planning (2504.13032)
Combines RAG with a multi-agent framework, using a graph-based structure, an RL agent to expand task coverage, and a meta-learning agent for better generalization

2. CoRAG (Collaborative RAG) -> CoRAG: Collaborative Retrieval-Augmented Generation (2504.01883)
A collaborative framework that extends RAG to settings where clients train a shared model using a joint passage store

3. ReaRAG -> ReaRAG: Knowledge-guided Reasoning Enhances Factuality of Large Reasoning Models with Iterative Retrieval Augmented Generation (2503.21729)
It uses a Thought-Action-Observation loop to decide at each step whether to retrieve information or finalize an answer, reducing unnecessary reasoning and errors

4. MCTS-RAG -> MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree Search (2503.20757)
Combines RAG with Monte Carlo Tree Search (MCTS) to help small LMs handle complex, knowledge-heavy tasks

5. Typed-RAG - > Typed-RAG: Type-aware Multi-Aspect Decomposition for Non-Factoid Question Answering (2503.15879)
Improves answers on open-ended questions by identifying question types (a debate, personal experience, or comparison) and breaking it down into simpler parts

6. MADAM-RAG -> Retrieval-Augmented Generation with Conflicting Evidence (2504.13079)
A multi-agent system where models debate answers over multiple rounds and an aggregator filters noise and misinformation

7. HM-RAG -> HM-RAG: Hierarchical Multi-Agent Multimodal Retrieval Augmented Generation (2504.12330)
A hierarchical multi-agent RAG framework that uses 3 agents: one to split queries, one to retrieve across multiple data types (text, graphs and web), and one to merge and refine answers

8. CDF-RAG -> CDF-RAG: Causal Dynamic Feedback for Adaptive Retrieval-Augmented Generation (2504.12560)
Works with causal graphs and enables multi-hop causal reasoning, refining queries. It validates responses against causal pathways

To explore what is Causal AI, read our article: https://www.turingpost.com/p/causalai

Subscribe to the Turing Post: https://www.turingpost.com/subscribe

Read further ๐Ÿ‘‡
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reacted to meg's post with โค๏ธ๐Ÿ”ฅ 12 days ago
reacted to hannayukhymenko's post with ๐Ÿ”ฅ 12 days ago
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3368
๐Ÿš€ We are delighted to announce MamayLM, a new state-of-the-art efficient Ukrainian LLM!

๐Ÿ“ˆ MamayLM surpasses similar-sized models in both English and Ukrainian, while matching or overtaking up to 10x larger models.

๐Ÿ“Š MamayLM is a 9B model that can run on a single GPU, enabling cost-efficient AI autonomy and adoption across sectors in Ukraine such as education, legal, healthcare, public services and others (e.g., by specializing it to particular use cases). MalayLM is also attractive for organizations wishing to preserve data privacy as it s efficiency allows it to run on a local machine.

๐Ÿง  MamayLM is trained on high-quality Ukrainian data and understands Ukrainian language, culture, and history. It is built on top of Googleโ€™s Gemma 2 9B model, but uses a number of new advances stemming from INSAITโ€™s experience in creating BgGPT, a Bulgarian LLM we released last year, now adopted nationwide and profiled several times by Google as a worldwide success case.

๐Ÿค MamayLM is developed in a collaboration between researchers at INSAIT and ETH Zรผrich and is trained entirely via donations to INSAIT for AI compute resources.

๐Ÿ“ฅ MamayLM is now freely available to download on INSAITโ€™s HuggingFace in both full and quantized versions. We also publicly release all Ukrainian benchmarks we evaluated on.

๐Ÿ“ Further, we release blog posts in both English and Ukrainian, sharing our approach to creating MamayLM, hoping to drive further improvements by the community.

๐ŸŒŽ The release of LLMs for various languages is part of INSAITโ€™s mission in ensuring countries can achieve AI autonomy in a cost-efficient, controlled, safe and predictable manner.

MamayLM model and benchmarks: INSAIT-Institute
Blog (EN): https://huggingface.co/blog/INSAIT-Institute/mamaylm
Blog (UKR): https://huggingface.co/blog/INSAIT-Institute/mamaylm-ukr
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reacted to linoyts's post with ๐Ÿ‘ 12 days ago
reacted to clem's post with ๐Ÿš€๐Ÿค— 12 days ago
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2909
Just crossed half a million public apps on Hugging Face. A new public app is created every minute these days ๐Ÿคฏ๐Ÿคฏ๐Ÿคฏ

What's your favorite? http://hf.co/spaces
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reacted to clem's post with โค๏ธ๐Ÿ”ฅ 12 days ago
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3925
Energy is a massive constraint for AI but do you even know what energy your chatGPT convos are using?

We're trying to change this by releasing ChatUI-energy, the first interface where you see in real-time what energy your AI conversations consume. Great work from @jdelavande powered by spaces & TGI, available for a dozen of open-source models like Llama, Mistral, Qwen, Gemma and more.

jdelavande/chat-ui-energy

Should all chat interfaces have this? Just like ingredients have to be shown on products you buy, we need more transparency in AI for users!
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replied to aiqtech's post 12 days ago
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@anthony @mfuntowicz @aliabd Can we do something guys? Sorry to ping be it is becoming more and more obvious. All sort of patterns already show up.
The craziest is I'm starting there is even no human onboard! Let's try to figure this out.

@powergen4ai , you are right. Let's wipe the slate clean on all this. Let's try something instead: let's focus on the popcorn part. I think it is actually a valuable criteria to determine the huggingface value of a developer. But of course, only humans know how to prepare it the right way. So, if you really are a human, this is your chance to prove it. I doubt you can provide any recipe...!

Wow! Apparently, just commenting on this post makes you AGI. Impressive! Looks like weโ€™ve all become AGI now, Haha...

replied to aiqtech's post 12 days ago
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lol, but isn't this precisely a personal attack? You are funny, also, keep the drama going on, let's pump up the visibility!
A normal dev would just have dropped the discussion, but you keep going on. But that's too late, now you are committed.
Dude, just let the LLM entirely respond, you are deteriorating the quality of the reasoning adding your input to the prompt. Maybe just prompt it "seems we are in trouble now, what to do??" but let it figure out ;)
Preparing the popcorn

OK. Glad you're enjoying the show, but wouldnโ€™t it be better to focus on respectful dialogue and meaningful contributions instead of popcorn and drama?

replied to aiqtech's post 12 days ago
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How many fake accounts do you have to manage? Just curious ;)

Letโ€™s stop with the emotional insults and personal attacks. Before making such comments, it might be good to consider what contributions youโ€™ve made to the Hugging Face community

replied to aiqtech's post 13 days ago
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Oh~~~ Am I actually AGI? Thank you for the compliment! It's time to swap my battery, so Iโ€™m off to recharge. Have a good night!