Lucas Brito

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Lucas Brito

Lucas Brito

@Lucs1590

A nice guy in love with AI! 👨‍💻🚀 | https://t.co/wNKw86xEIV | https://t.co/xN2MGZCI0k

Pompeia City Katılım Temmuz 2020
495 Takip Edilen92 Takipçiler
Lucas Brito
Lucas Brito@Lucs1590·
@lobotosasha Como fazer uma bomba caseira kkkk Colocar leite nessa cafeteira é um perigo!
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sasha
sasha@lobotosasha·
Bom dia lindos e lindas ❤️
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Lucas Brito
Lucas Brito@Lucs1590·
A ultima vez que vi a seleção tão assustada assim foi no 7x1. Jogo lamentável! #BRACOL
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Lucas Brito
Lucas Brito@Lucs1590·
With every sprint triathlon training I do I realize that Ironman isn't for beginners!
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Lucas Brito
Lucas Brito@Lucs1590·
E nessa história de memória muscular, a única memória que o meu corpo teve, foi da fadiga!
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Lucas Brito
Lucas Brito@Lucs1590·
“IA não é apenas tecnologia. Demanda liderança engajada, cultura ‘data-driven’ e aberta às experimentações e erros. A tecnologia é a parte mais fácil da equação. O maior desafio está na definição de uma estratégia coerente e factível, e…” — Cezar Taurion link.medium.com/fjXguhm2qHb
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Lucas Brito retweetledi
LangChain
LangChain@LangChain·
🦜🚀LangChain v0.1.0 After a year of development, we've released LangChain v0.1.0 Read the full blog here: blog.langchain.dev/langchain-v0-1… After talking with the users and developers, we released this stable version and focused the library on a few core areas: 👀Observability: Building complex LLM applications is hard. In order to best debug, you need to know the exact steps that were taken and the input/output at each step. Through a tight integration with LangSmith, LangChain has best-in-class observability ↔️Integrations: With nearly 700 integrations, no matter what tech stack you want to use, LangChain supports it 🔗Composability: With LangChain Expression Language, it's easy (and fun!) to create arbitrary chains, bringing you all the benefits of a data orchestration framework 🎏Streaming: We've invested a lot in making sure that streaming is supported in a first class way for all chains created with LangChain Expression Language - including streaming of intermediate steps 🧱Output parsing: Getting the LLM to return information in a certain format is key for enabling it to take actions. 🔎Retrieval: adding advanced yet production ready methods for RAG, including text-splitting, retrieval, and an indexing pipeline 🤖Tool Use + Agents: collection of agents (decide what actions to take), collection of tools, easy way to define tools We will be highlighting these individually over the coming week. Each one has a lot of nuance to it, and is worth it's own deep dive Big thank you to our community for helping guide and build this with us!
LangChain tweet media
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Lucas Brito
Lucas Brito@Lucs1590·
Meu novo passatempo com a Gabi é assistir o @Casimiro comentando casas!
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Almor Tech
Almor Tech@AlmorTech·
I don't have an engineering degree, but this looks like a data leak
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Andrew Schmelyun
Andrew Schmelyun@aschmelyun·
My keyboard wasn't mechanical enough, so I made an upgrade
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Lucas Brito
Lucas Brito@Lucs1590·
Spread the love for open source with #Hacktoberfest, a month-long celebration of open-source projects, their maintainers, and the entire community of contributors. hacktoberfest.com
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Lucas Brito
Lucas Brito@Lucs1590·
Muito bacana ver o tanto de métrica que posso ter de uma corrida só com um relógio e um fone. Ansioso pra ver como isso será potencializado no futuro com sensores ainda menores!
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