A Coding Guide to TypeSafe AI Jev: Typed Decisions, Calibrated ...
MarkTechPost published a coding guide to TypeSafe AI Jev, covering typed decisions and calibrated agent behavior.
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DSPy is an open-source framework for programming, rather than prompting, language models. shipfeed tracks DSPy releases, new optimizers, and the pipelines built with it.
MarkTechPost published a coding guide to TypeSafe AI Jev, covering typed decisions and calibrated agent behavior.
DSPy 3.3.0 DSPy 3.3.0 is a feature release with a new experimental way to optimize programs as code, a native-tool-aware ReAct implementation, and the next stage of DSPy's move toward a typed, provider-neutral…
DSPy 3.4.0 Beta 1 DSPy 3.4.0b1 is the first beta of 3.4. It moves language-model execution to a shared engine interface, adds a local CPython interpreter for trusted code, and brings async execution to ReActV2. It also…
DSPy 3.3.1 DSPy 3.3.1 contains many interpreter fixes and improvements. It makes `PythonInterpreter` easier to install, substantially strengthens sandbox isolation and request handling, and adds end-to-end visibility…
Highlights BetterTogether Allows Chaining Optimizers — @dilarasoylu `BetterTogether` now accepts arbitrary optimizers as keyword arguments and chains them via strategy strings. For example, `BetterTogether(metric=m…
What's Changed This is a 3.1.0 official release. We are making the beta release 3.1.0beta1 official. Optimizers & Evaluation Add tutorial for dspy-trusted-monitor using GEPA by @ZachParent in…