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Database Errors: Dark Side and Lessons Learned
In this article, you will better understand the potential risks associated with database errors and how to mitigate them.
Swapnil Vishwakarma 29 Dec, 2022
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US Sets Rules for Safe AI Development
Joe Biden's administration has released Executive Orders setting rules to ensure safe and responsible AI development in the US.
K.C. Sabreena Basheer 21 Dec, 2023
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What is OrderedDict in Python?
Explore the OrderedDict in Python: its features, applications, and differences from standard dictionaries in Python 3.7+.
Shikha Sen 27 Jun, 2024
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Building a CodeBase Explorer with Google’s Gemini-2.0
CodeBase Explorer helps navigate, analyze, and understand complex codebases for more efficient software development and debugging.
Avijit Biswas 23 Jan, 2025
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Machine Learning Scientist – Amazon – Bangalore (2-3+ years of experience)
Amazon– Bangalore is looking for Machine Learning Scientist with 2+ years of experience in predictive modeling & using analytics tools R, Weka, SAS, Matlab, Java, C++, Python
deepak 26 Feb, 2015 -
Senior Data Analyst – Marketelligent -Bangalore – (2-5 Years of experience)
Marketelligent -Banglore is looking for Senior Data Analyst with 2-5 Years of experience in SAS, SQL and data visualization
Analytics Vidhya 25 Jun, 2015 -
Unlocking the Future: GPT-4’s Radiant Promise in Radiology
A research paper, "Exploring the Boundaries of GPT-4 in Radiology," presented at EMNLP 2023, unveils 10% improvement in radiological tasks.
NISHANT TIWARI 01 Dec, 2023
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Machine Learning Engineer – Delhi / NCR (3+ years of experience)
Delhi / NCR is looking for Machine learning with 3+ Years of Experience in NLP, Spark, Hadoop/MapReduce, Solr, Python, R, Scala, Hive, Pig
deepak 29 Oct, 2015 -
Volkswagen Cars Get Upgraded with ChatGPT Integration
Volkswagen upgrades its cars with in-car voice assistant, IDA, with OpenAI's powerful chatbot, ChatGPT. New models launched at CES 2025.
K.C. Sabreena Basheer 28 Nov, 2024
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What is Model Collapse? Examples, Causes and Fixes
Discover model collapse, the phenomenon where AI systems lose diversity and accuracy by training on their own synthetic data.
Vasu Deo Sankrityayan 27 Jan, 2026
