wehub-resource-sync
91 lines
4.4 KiB
Markdown
91 lines
4.4 KiB
Markdown
---
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layout: default
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title: Using Agents & Function Calls with SLIM Models
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parent: Learn
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nav_order: 1
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description: overview of the major modules and classes of LLMWare
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permalink: /learn/using_agents_functions_slim_models
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---
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Using Agents, Function Calls and SLIM Models
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---
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**Tutorial Videos** - check out our Youtube channel for high-impact 5-10 minute tutorials on the latest examples.
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Check back often as this list is always growing ...
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🎬 **Using Agents, Function Calls and SLIM models**
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- [Agent Automation with Web Services for Financial Research](https://youtu.be/l0jzsg1_Ik0?si=oBGtALHLplouY9x2)
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- [Sentiment Analysis](https://youtu.be/ERCHP21oAN8?si=fp6D4Tk9J2HdDRXa)
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- [SLIMS Playlist](https://youtube.com/playlist?list=PL1-dn33KwsmAHWCWK6YjZrzicQ2yR6W8T&si=TSFGqQ3ObOO5vDde)
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- [Agent-based Complex Research Analysis](https://youtu.be/y4WvwHqRR60?si=jX3KCrKcYkM95boe)
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- [Getting Started with SLIMs (with code)](https://youtu.be/aWZFrTDmMPc?si=lmo98_quo_2Hrq0C)
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- [SLIM Models Intro](https://www.youtube.com/watch?v=cQfdaTcmBpY)
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- [Text2SQL Intro](https://youtu.be/BKZ6kO2XxNo?si=tXGt63pvrp_rOlIP)
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- [Pop up LLMWare Inference Server](https://www.youtube.com/watch?v=qiEmLnSRDUA&t=20s)
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- [Hardest Problem in RAG - handling 'Not Found'](https://youtu.be/slDeF7bYuv0?si=j1nkdwdGr5sgvUtK)
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- [Extract Information from Earnings Releases](https://youtu.be/d6HFfyDk4YE?si=VmnIiWFmgBtR4DxS)
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- [Summary Function Calls](https://youtu.be/yNg_KH5cPSk?si=Yl94tp_vKA8e7eT7)
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- [Boolean Yes-No Function Calls](https://youtu.be/jZQZMMqAJXs?si=lU4YVI0H0tfc9k6e)
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- [Autogenerate Topics, Tags and NER](https://youtu.be/N6oOxuyDsC4?si=vo2Fd8VG5xTbH4SD)
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# More information about the project - [see main repository](https://www.github.com/llmware-ai/llmware.git)
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# About the project
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`llmware` is © 2023-{{ "now" | date: "%Y" }} by [AI Bloks](https://www.aibloks.com/home).
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## Contributing
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Please first discuss any change you want to make publicly, for example on GitHub via raising an [issue](https://github.com/llmware-ai/llmware/issues) or starting a [new discussion](https://github.com/llmware-ai/llmware/discussions).
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You can also write an email or start a discussion on our Discrod channel.
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Read more about becoming a contributor in the [GitHub repo](https://github.com/llmware-ai/llmware/blob/main/CONTRIBUTING.md).
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## Code of conduct
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We welcome everyone into the ``llmware`` community.
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[View our Code of Conduct](https://github.com/llmware-ai/llmware/blob/main/CODE_OF_CONDUCT.md) in our GitHub repository.
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## ``llmware`` and [AI Bloks](https://www.aibloks.com/home)
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``llmware`` is an open source project from [AI Bloks](https://www.aibloks.com/home) - the company behind ``llmware``.
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The company offers a Software as a Service (SaaS) Retrieval Augmented Generation (RAG) service.
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[AI Bloks](https://www.aibloks.com/home) was founded by [Namee Oberst](https://www.linkedin.com/in/nameeoberst/) and [Darren Oberst](https://www.linkedin.com/in/darren-oberst-34a4b54/) in October 2022.
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## License
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`llmware` is distributed by an [Apache-2.0 license](https://www.github.com/llmware-ai/llmware/blob/main/LICENSE).
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## Thank you to the contributors of ``llmware``!
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<ul class="list-style-none">
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{% for contributor in site.github.contributors %}
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<li class="d-inline-block mr-1">
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<a href="{{ contributor.html_url }}">
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<img src="{{ contributor.avatar_url }}" width="32" height="32" alt="{{ contributor.login }}">
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</a>
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</li>
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{% endfor %}
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</ul>
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---
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<ul class="list-style-none">
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<li class="d-inline-block mr-1">
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<a href="https://discord.gg/MhZn5Nc39h"><span><i class="fa-brands fa-discord"></i></span></a>
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</li>
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<li class="d-inline-block mr-1">
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<a href="https://www.youtube.com/@llmware"><span><i class="fa-brands fa-youtube"></i></span></a>
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</li>
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<li class="d-inline-block mr-1">
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<a href="https://huggingface.co/llmware"><span> <img src="https://huggingface.co/front/assets/huggingface_logo-noborder.svg" alt="Hugging Face" class="hugging-face-logo"/> </span></a>
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</li>
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<li class="d-inline-block mr-1">
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<a href="https://www.linkedin.com/company/aibloks/"><span><i class="fa-brands fa-linkedin"></i></span></a>
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</li>
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<li class="d-inline-block mr-1">
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<a href="https://twitter.com/AiBloks"><span><i class="fa-brands fa-square-x-twitter"></i></span></a>
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</li>
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<li class="d-inline-block mr-1">
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<a href="https://www.instagram.com/aibloks/"><span><i class="fa-brands fa-instagram"></i></span></a>
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</li>
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</ul>
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---
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