https://raphaeldelio.com | https://youtube.com/raphaeldelio | https://linktr.ee/raphaeldelio
One virtually with Camille Nigon from Red Hat and the second one at the Kotlin MeetUp in Eindhoven!
At both I'll talk about how Redis can help your agentic applications save on time and cost using vector search.
Don't forget to RSVP! #java #kotlin
I delivered a talk at JFall yesterday about three strategies that can be implemented with vector DBs to reduce LLM calls. But the truth is that there are many more! #java
github.com/redis-develo...
I delivered a talk at JFall yesterday about three strategies that can be implemented with vector DBs to reduce LLM calls. But the truth is that there are many more! #java
github.com/redis-develo...
I was listening to Anthropic's recent video "How AI Models Think" based on their research on interpretability and found a few insights very interesting. One for example is that there's evidence that LLMs can do simple math (addition).
I was listening to Anthropic's recent video "How AI Models Think" based on their research on interpretability and found a few insights very interesting. One for example is that there's evidence that LLMs can do simple math (addition).
The best part? On Redis Cloud that can all be set up automatically easily. Took me only 10 minutes.
The best part? On Redis Cloud that can all be set up automatically easily. Took me only 10 minutes.
That's the message I got when running "FLUSHALL" on my production Redis instance. 😮💨
My team and I developed an internal platform for us to track our work. The chosen database? Redis, of course.
#redis @redis.io
Underlying, it’s still the GPT-Image-1 released in April 2025 model that’s generating the images.
Underlying, it’s still the GPT-Image-1 released in April 2025 model that’s generating the images.
It’s still the GPT-Image-1 model released in April of this year that is generating the images.
It’s still the GPT-Image-1 model released in April of this year that is generating the images.
Every time a new model drops, people declare “RAG is dead” because of bigger context windows.
This time they’re also pointing to better accuracy with massive token counts.
Let’s talk about why they’re wrong. 🧵
Every time a new model drops, people declare “RAG is dead” because of bigger context windows.
This time they’re also pointing to better accuracy with massive token counts.
Let’s talk about why they’re wrong. 🧵
A primeira edição do livro é de 1995 btw. A última edição do livro (que estou lendo) é de 2020.
A primeira edição do livro é de 1995 btw. A última edição do livro (que estou lendo) é de 2020.
Dá uma olhada nessa passagem do livro "Artificial Intelligence: A Modern Approach" Um dos livros mais recomendados no meio
Dá uma olhada nessa passagem do livro "Artificial Intelligence: A Modern Approach" Um dos livros mais recomendados no meio
Dá uma olhada nessa passagem do livro "Artificial Intelligence: A Modern Approach" Um dos livros mais recomendados no meio
Dá uma olhada nessa passagem do livro "Artificial Intelligence: A Modern Approach" Um dos livros mais recomendados no meio