Part of what made our webinar on RAG so great in my mind was that we had an application builder (Pedro from Tavrn) on to talk about what he ACTUALLY does in practice If you are an app builder and want to join a future webinar – reach out! Webinar:
GENERATIVE AI
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Hiring Creators Teachers Curators to Improve AI Models
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We are hiring creators, teachers, and curators to help improve our models! If you are extremely good at writing and an expert in your field, pls DM us evidence of your most exceptional work
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Apify enables Twitter data integration with LangChain for AI
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@apify can do this pretty well! Example here: https://
python.langchain.com/docs/integrati
ons/chat_loaders/twitter
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Streamlit Twitter Clone App with LangChain Fine-tuning Exploration
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Streamlit app so you can play around with yourself here: https://
elon-twitter-clone.streamlit.app Code: https://
github.com/langchain-ai/t
witter-finetune
… Going to be exploring this in a webinar next week with @GregKamradt
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Fine-tuning Models for Custom Tone: Elon Musk Example
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One of my favorite use cases for fine-tuning is getting a model to speak in a custom tone This is kinda hard to achieve with just prompting/few-shot Here's an example of fine-tuning a model to tweet like Elon Musk (compare it to what you get by just prompting)
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Code Llama API Available on Replicate with Multiple Models
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Run Code Llama with an API on Replicate. Code Llama can generate and discuss code. It's the best open-source model for things like debugging and code completion. • 7b https://
replicate.com/replicate/code
llama-7b
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• 7b Python https://
replicate.com/replicate/code
llama-7b-python
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• 13b -
RAG Technique: Solving Modern LLM Limitations Without Fine-Tuning
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Let’s dive in to one of the most-talked about AI techniques—retrieval augmented generation (RAG)— that developers are using as a precursor to fine-tuning. It helps solve the recent issue of modern LLMs while being not-really-that-hard to implement.
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Open Source AI Models Accessible Without Fine-Tuning Resources
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It's a tantalizing prospect for companies that are exploring the use of open source models, but don't have the resources (personnel or financial) to fine-tune or pre-train a model. It works right out of the box without any significantly advanced technical requirements.
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Adding Memory to Frozen LLM Models Reduces Costs
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It offers the ability to endow a kind of "memory" to models that are frozen in time, as well as lower the overall cost of LLM usage. Or as @bobvanluijt told me, a way to make a stateless tool more stateful.
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Mystery AI Hype Theater 3000: Three Episodes Near 1K Views
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Mystery AI Hype Theater 3000 video leaderboard: Three episodes have over 900 views, but which will cross 1k first? #12 “It’s All Hell”
#14 “Henry Kissinger, Machines of War, and the Age of Military AI Hype”
#10 “Don’t be a Lawyer ChatGPT” https://
peertube.dair-institute.org/c/mystery_ai_h
ype_theater/videos?sort=-originallyPublishedAt&s=3
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