I pulled a full week of @OpenAI
's X analytics without an API key, a scraper, or a single line of code One prompt. 30 seconds. The tool that made this possible isn't Claude, Cursor, or ChatGPT. It's a browser called ego lite:
DATA
-
Godofprompt gets OpenAI X analytics with one prompt, no code, using ego lite browser
By
–
-
Mazda builds GenAI assistant on Databricks for service hotline
By
–
.
@MazdaUSA built a GenAI assistant on Databricks to help service hotline agents navigate growing diagnostic complexity with faster, more consistent support. The team brought together vehicle history, recalls, diagnostic data, and service documents into a single governed -
Time Series Modeling using TensorFlow for Beginners
By
–
Time Series Modeling using TensorFlow for Beginners! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/TF-Modeling-TF -
Machine Learning with Amazon SageMaker
By
–
Machine Learning with Amazon SageMaker! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/SageMaker-AWS -
Perplexity enhances Daily Digest with customizable sources and connectors
By
–
Perplexity keeps working on the Daily Digest feature, allowing users to precisely customise from where and which data needs to be pulled from. Memory, web sources, custom instructions and many connectors will be available.
-
Self-supervised learning cuts annotation costs, speeds up AI model deployment.
By
–
Self-supervised learning reduces annotation costs by generating labels from raw data, limiting manual effort. As models scale across business units, pretraining on unlabeled datasets shortens fine-tuning cycles and frees skilled teams for higher-value work. Microblog @antgrasso
-
Microprocessors, infrastructure, data, AI: the true dominance order
By
–
This is the law of true technological dominance: μ-processors > Infra > Data > AI But most people are not ready for this debate, as the focus remains solely on AI software applications. The long-term reality check will be harsh for some.
-
GeoAI and Machine Learning Help Predict Traffic Carmageddon
By
–
GeoAI! #MachineLearning Help Predict Traffic Carmageddon! by @rachelevagordon. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #GeoSpatial #Linux
-
Training AI on Amazon Electronic Reviews with Python NLP
By
–
Training AI on Amazon Electronic Reviews Using #Python for Natural Language! – by – @gp_pulipaka
! JupyterLab/Jupyter Notebook WordNet, Lexical Semantic Relation Analyzer
Thesaurus, 155,000 Words
Synset 115,000, 205,000 word-Sense Pair. NLTK Library, spaCy, TextBlob -
AI-Powered File Reader with RAG and LLM
By
–
RAG with LLM: Creating an AI-Powered File Reader! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding