Modaic

decisions, decisions, decisions

[Modaic @modaicdev]

@alialobai1 🫡

[Modaic @modaicdev]

step 1: build a computer use harness for system one
step 2: train a system one model to output text so it can search and fill in text fields
step 3: rl the model on cua trajectories
step 4: let it rip

[Modaic @modaicdev]

More here:
https://t.co/heQMNWVsOQ

[Modaic @modaicdev]

We're announcing Mo-2.0 a frontier System One model with 8 output types for deciding and extracting.
- choice
- noul
- score
- box
- span
- text
- number
- datetime

[Modaic @modaicdev]

Datetime outputs dates as ISO format. You can use it to ask questions about specific times and events.

[Modaic @modaicdev]

@FaroukAdeleke3 👀

[Farouk @FaroukAdeleke3]

for now…🤓

[Modaic @modaicdev]

https://t.co/1Ozg5mCzX2

[Modaic @modaicdev]

If you thought this was interesting, we have some more gems for you... https://t.co/nP7sp2cJ10

[Tyrin @ty_todd1]

The more I play around with GEPA the more I realize its not just a prompt optimization algorithm.

Its really the most efficient way to have an LLM explore a massive dataset and and make useful insights.

This visualizer alone shows just how cool that process is.

[Tyrin @ty_todd1]

The more I play around with GEPA the more I realize its not just a prompt optimization algorithm.

Its really the most efficient way to have an LLM explore a massive dataset and and make useful insights.

This visualizer alone shows just how cool that process is.

[Modaic @modaicdev]

Open source btw!
https://t.co/RZnzU1iJWK

[Tyrin @ty_todd1]

We put together a guide for @DSPyOSS using @mintlify to help beginners quickly learn the patterns for using DSPy in production.
https://t.co/ZhpWStzHue

Here are some of the highlights that'll help you get past the DSPy learning curve faster 🧵

[Farouk @FaroukAdeleke3]

follow ML best practices in your optimization runs with the modaic sdk

https://t.co/6HmXPd5B1u

[Ankur Gupta @getpy]

Next episode in the DSPy Series will be with two young entrepreneurs @FaroukAdeleke3 and @ty_todd1 building @modaicdev which makes distributing your DSPy code easy.

Subscribe https://t.co/rNmnowDqDW to get the updates

[Farouk @FaroukAdeleke3]

Holistic Benchmarking with dspy-helm from Asad Aali on @modaicdev ! ☺️

Paper: https://t.co/Imo1UXkek7
Github: https://t.co/BKNKrlmFEL
Modaic: https://t.co/HH4O3zTsNq

[Farouk @FaroukAdeleke3]

Inspired by the DSPy Codex, I built a @DSPyOSS scaffold for Claude Code on @modaicdev ! It shares full feature parity with Claude Agent SDK, including MCP servers, tool use, hooks, etc. but with a DSPy signature interface. Links below.
https://t.co/Vr38ZVMmuF

[Modaic @modaicdev]

@eshorten300 @weaviate_io @awscloud @ContextualAI @ChonkieAI @p0 @Google @twelvelabs @llama_index We 💚 Weaviate

[Erika Shorten @eshorten300]

Modaic and Weaviate
1. Modaic and Weaviate: Load the `CrossEncoderRanker` program from the Modaic Hub, as well as `PromptToSignature` (https://t.co/wXDKtik9iJ)