Databricks built a RAG agent it says can handle every kind of enterprise search

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.
Communications of the ACM

A Decade of Docker Containers

Container instances. Calling docker run on an OCI image results in the allocation of system resources to create a ...
IEEE

Sequential Linear Programming With Adaptive Linearization Error Limits for All-Time Feasibility

Abstract: This letter presents an enhanced Trust Region Method (TRM) for Sequential Linear Programming (SLP) designed to improve the initial feasible solution to a constrained nonlinear programming ...
Hacker

Stop A/B Tests Early: The Complete Guide to Sequential Testing (mSPRT) in Python

I'm a Data Analyst, researcher and statistics enthusiast. This story contains new, firsthand information uncovered by the writer. Story's Credibility AI-assisted This story contains AI-generated text.
GitHub

TfELM : Extreme Learning Machines Framework with Python and TensorFlow

This framework provides a comprehensive set of tools and utilities for implementing and experimenting with Extreme Learning Machines using Python and TensorFlow. ELMs are a type of machine learning ...
IEEE

Sequential QCQP for Bilevel Optimization With Line Search

Abstract: Bilevel optimization involves a hierarchical structure where one problem is nested within another, leading to complex interdependencies between levels. We propose a single-loop, tuning-free ...
GitHub

non_streaming_server.py

the content of the audio at once for recognition. It supports multiple clients sending at the same time. https://k2-fsa.github.io/sherpa/onnx/pretrained_models ...
Hacker

Search and Extract: Why This AI Pattern Matters, Tutorial, and Example

I am a freelance technical writer & editor, AI integration specialist, and software engineer, but I prefer to call myself a Technology Bishop. I am a freelance technical writer & editor, AI ...