Iryna Tsukanova
@stanandfranny
ID: 1487147708188143633
28-01-2022 19:37:56
695 Tweet
46 Followers
286 Following
I'm excited to introduce you LangChain4j workflows 🦜🔀 and continue contributing with LangChain4j ecosystem 🚀 How does it work? Look it below: 📹Video here: vimeo.com/968238496 💻Source code: github.com/czelabueno/lan… 🚀Examples code: github.com/czelabueno/lan…
Version 0.16 of the @quarkusio LangChain4j extension is out, with improved tracing, OpenWebUI integration, generic authentication flow, parallelized ingestion, and more! github.com/quarkiverse/qu…
Sounds like Im not done for the summer 😄 Heading to Berlin for WeAreDevelopers where I will deliver a workshop on Google Cloud Tech #Gemini, #VertexAI with #Java and LangChain4j. And best of all it's sold out 👍 #DevRel #GoogleCloud
Lots of #Gemini improvements in yesterday's LangChain4j 0.32 release! ➡️JSON output mode ➡️JSON schema response ➡️Response grounding ➡️Log requests&responses ➡️Function calling mode ➡️Safety settings Bonus ➡️Lambda streaming handler ➡️Imagen v3 model glaforge.dev/posts/2024/07/…
Nothing better to start the day than submitting a PR on LangChain4j : Adding a sample about securing your Azure OpenAI model invocation github.com/langchain4j/la…
Explore a variety of AI capabilities at WeAreDevelopers 2024. In this session, we'll start with the #Quarkus DevUI, where you can try out AI models even before writing any code, and then we’ll get our hands dirty with code and explore LangChain4j features. bit.ly/3NQw4D6
#LLMs are useful beyond just #chatbots and #RAG They are great at text classification: Sentiment analysis, request triaging, document labeling... In this article, I explore using LangChain4j with #Gemini to classify text. glaforge.dev/posts/2024/07/…
Lastly I use an Embedding Models approach to calculate vector embeddings of labeled samples, to compare them with the text to classify, thanks to LangChain4j's EmbeddingModelTextClassifier class. I used #VertexAI's latest embedding model to compute vectors.
Another useful use-case for #LLM's. Text classification for Sentiment analysis, request triaging, document labeling...etc. Check this article by Guillaume Laforge where he explored using LangChain4j and Google Cloud Tech #Gemini to classify text 🔽
We are excited to welcome Abdel Sghiouar, Cloud Developer Advocate at Google Cloud Tech, as a speaker at the WeAreDevelopers World Congress 2024 🚀 He will lead an interesting discussion on: 🌐 Gemini in Java with Vertex AI and LangChain4j Don't miss this talk!
We are excited to welcome Asrar Khan, Developer Marketing Lead at Google Cloud Tech, as a speaker at the WeAreDevelopers World Congress 2024 🚀 He will lead an interesting discussion on: 🌐 Gemini in Java with Vertex AI and LangChain4j Don't miss this talk!
I'm at WeAreDevelopers in Berlin 🇩🇪 this week with 2 sessions, come say hi! 🎙️Infusing Generative AI in your #Java Apps with #LangChain4j 🎙️#Serverless Java in Action: Cloud Agnostic Design Patterns and Tips (with Daniel Oh) LangChain4j KnativeProject Red Hat Developer #WeAreDevs
And now Monsieur Le Developer Advocate 🥑 Kevin Dubois with a live demo about LangChain4j and Quarkus here at WeAreDevelopers! 🙌🔥
📣 Alexandre Gallice has shared a nice post about using Apache Camel, ollama and LangChain4j to process unstructured data. If you ever wondered how you could transform a blob of text into a Java object, this is how you could start. #ai #ApacheCamel #LLM camel.apache.org/blog/2024/07/d…