RAG-Driven #GenerativeAI — Build custom Retrieval Augmented Generation pipelines: http://
amzn.to/3MWnIek v/ @PacktDataML ——
#AI #MachineLearning #DataScience #GenAI #LLMs
——
𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
Implement RAG’s traceable outputs, linking each response to its source
CODE
-
Guide to Building Custom RAG Pipelines
By
–
-
daVinci-Dev: Agent-Native Mid-Training for Software Engineering
By
–
daVinci-Dev: Agent-native Mid-training for Software Engineering Zeng et al.: https://
arxiv.org/abs/2601.18418 #ArtificialIntelligence #DeepLearning #MachineLearning -
GoodAIList: Track 14K Open Source AI Repos Daily
By
–
I built GoodAIList.com to help me stay-up-date with new AI stuff. It's tracking 14K open source repos so far, with contributions from over 145K developers. Every day, it: – searches for new AI repos (based on 123 keywords and topics) – surfaces repos that are gaining traction, and – categorizes each repo The annotations are done by AI so they are not super accurate, but they've helped me find some useful stuff. It also lets me see where the contributors are, so when I travel, I can find folks doing cool stuff in a new city or country.
-
Cohere Invites Developers to Start Building with AI Platform
By
–
We're glad to hear it. First step to building with us: https://
dashboard.cohere.com/welcome/login -
Cached Data vs Live Fetching: Understanding Information Freshness
By
–
cached is not fetched JIT and can have slightly dated info, live fetches JIT
-
ARC-AGI-3 Toolkit Released for AI Research Agents
By
–
One of the best ways to contribute directly to the current frontier of AI research is to build agents that can solve ARC-AGI-3 environments with human-level efficiency. Today we're releasing a toolkit that lets you interact with all public environments locally, at 2000 FPS. You
-
AI Assistance in Coding: Understanding Over Delegation
By
–
However, some in the AI group still scored highly while using AI assistance. When we looked at the ways they completed the task, we saw they asked conceptual and clarifying questions to understand the code they were working with—rather than delegating or relying on AI.
-
AI Coding Tools Decrease Mastery When Misused in Development
By
–
AI can make work faster, but a fear is that relying on it may make it harder to learn new skills on the job. We ran an experiment with software engineers to learn more. Coding with AI led to a decrease in mastery—but this depended on how people used it.
-
AI Assistance Impact on Junior Engineers Learning Performance
By
–
In a randomized-controlled trial, we assigned one group of junior engineers to an AI-assistance group and another to a no-AI group. Both groups completed a coding task using a Python library they’d never seen before. Then they took a quiz covering concepts they’d just used.
-
Daggr: New Open-Source Framework for Building AI Applications
By
–
Read the blog: https://
huggingface.co/blog/daggr
Check features apps: https://
huggingface.co/collections/ys
harma/daggr-hf-spaces
…
daggr on GitHub: https://
github.com/gradio-app/dag
gr
…