The Forrester Wave Data Fabric Platform Report! Agentic AI And Advanced Data Intelligence Are Redefining Data Fabric. #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang
RESEARCH
-
RL Datasets Addition Planned for Next Update
By
–
I'm planning to (finally) add RL datasets in the next update
-
LLM Datasets Update: New Collections and Thinking Features
By
–
Big update to llm-datasets, my curated list of datasets and tools for post-training LLMs. > Added many new datasets
> New "thinking" column
> Refreshed recommended tools. Thanks to everyone who told me they used it for their research at ICLR, you motivated this update! -
Predatory Academic Publishers Under Fire
By
–
Terrible, terrible. Poor predatory academic publishers. https://t.co/janCoJ80eg
— Bojan Tunguz (@tunguz) 27 avril 2026Terrible, terrible. Poor predatory academic publishers.
-
CDSCO-IndiaAI Hackathon Webinar: Expert Validation and Evaluation
By
–
Join the CDSCO–IndiaAI Hackathon Webinar and learn directly from the experts. With just 1 day to go, this webinar will be help in validating your approach, understand evaluation criteria and make your application stronger, sharper and more aligned. Register here:
-
IndiaAI Application Development Initiative Launches Sector Solutions
By
–
The IndiaAI Application Development Initiative (IADI), is a key pillar under MeitY's IndiaAI Mission. It addresses problem statements of key sectors from Ministries & States with cutting-edge AI innovation. From idea to deployment, the IADI Pillar under the IndiaAI Mission is
-
AI 2027: From Agent-1 to Superintelligence Misalignment
By
–
From Agent-1 to Superintelligence: The AI 2027 Scenario The AI 2027 Report outlines one of the most thought-provoking trajectories for artificial intelligence: a rapid evolution from simple assistants (Agent-1) to autonomous, adversarially misaligned systems (Agent-4) and
-
Personal Model Evaluation: Testing AI Releases for Workflows
By
–
Best way to evaluate models against each other, and test if new model releases are better for personalized use cases and workflows. You don’t have to be a developer to be using personal evals and benchmarks.
-
Fatty Liver Disease Could Affect 1.8 Billion People by 2050
By
–
Fatty liver disease could affect 1.8 billion people by 2050 in a growing health crisis: https://
earth.com/news/fatty-liv
er-disease-could-affect-1-8-billion-people-by-2050-in-a-growing-health-crisis/
… #health #fattyliver #disease #research -
AI Adoption of llms.txt Standard Shows Limited Implementation
By
–
I don't know what we're discussing here As the data shows no AI uses llms.txt