Deep Conclusions
51 posts

Deep Conclusions
@deepconclusions
We develop Ai products and teach people to code
Kampala, Uganda Katılım Kasım 2022
71 Takip Edilen16 Takipçiler

Hey there 👋 @X I am looking to #connect with people who are interested in:
📂 Open Source
🌐 Web Development
📱 Mobile Development
🚦 QA
🚨 DevOps
🐍 Python
⚙️ Backend
🎨 Frontend
🤖 AI
🚀 Freelancing
Let's connect 🤝
#letsconnect #buildinpublic #opensource #git #dev #python
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@Mr_Blockchain_1 @X Done following, please follow back 🙂
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@Pen__Rebirth @X Done following, thanks for the connection
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@sundaramkatare @X Done following, please follow back 🙂
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@sriram_codes @X Done following, thanks for the connection
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Deep Conclusions retweetledi

#Python Pop Quiz 🐍❓
What is the output of this silly code?
A) NameError
B) 0
C) TypeError
D) None of the above

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Deep Conclusions retweetledi

When building GraphRAG, you may want to explicitly define the graph yourself, or use the LLM automatically extract the graph.
Both have tradeoffs: the former takes a lot more human effort but gives you full control over the data representation, and the latter automates human effort but can be unreliable.
With @llama_index, you can do either or both! 🌟
Our extractor can do the following:
1. Parse documents into nodes
2. Extract paths from text using an LLM - either free-form or in accordance to a schema.
3. Define relationships manually using our Node abstractions (you can link different nodes) - it’ll auto convert to graph relationships
4. Generate embeddings for every node
Check out our full guide here:
docs.llamaindex.ai/en/stable/exam…

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Deep Conclusions retweetledi

The No Language Left Behind paper (NLLB) just appeared in Nature.
High-quality translation between 200 languages in any direction, with sparse training data, and many low-resource languages.
AI at Meta@AIatMeta
Newly published today in @Nature: No Language Left Behind (NLLB) is an AI model created by researchers at Meta capable of delivering high-quality translations directly between 200 languages – including low-resource languages. Read more in Nature ⬇️ go.fb.me/7j8o4p
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Deep Conclusions retweetledi

🔍 Analysts need to rewatch many game replays to study rival teams and design future tactics.
TacticAI can help by automatically computing numerical representations of players, allowing them to efficiently look up relevant past routines. ↓ dpmd.ai/49PGq1b
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Deep Conclusions retweetledi

#Python Pop Quiz 🐍❓
What is the output of the following code?
A) True
B) False
C) (7, 8, 9)
D) None of the above

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Deep Conclusions retweetledi

Check out what's new in PyTorch Documentation 👀 Featuring 3 new tutorials and PyTorch 2.2 documentation + tutorials!
Details 👉 hubs.la/Q02jwnLt0

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Deep Conclusions retweetledi

Did you know that #Python supports SQLite in the standard library? That's right. You don't need to install anything! 🐍🚀
Let's talk a little about that!
🧵👇
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