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Using NotebookLM as Your Machine Learning Study Guide
Learning machine learning can be challenging.
Selecting the Right Feature Engineering Strategy: A Decision Tree Approach
In machine learning model development, feature engineering plays a crucial role since real-world data often comes with noise, missing values, skewed distributions, and even inconsistent formats.
10 Python Libraries That Speed Up Model Development
Machine learning model development often feels like navigating a maze, exciting but filled with twists, dead ends, and time sinks.
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Using Quantized Models with Ollama for Application Development
Quantization is a frequently used strategy applied to production machine learning models, particularly large and complex ones, to make them lightweight by reducing the numerical precision of the model’s parameters (weights) — usually from 32-bit floating-point to lower representations like 8-bit integers.
A Gentle Introduction to SHAP for Tree-Based Models
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10 Python One-Liners That Will Simplify Feature Engineering
Feature engineering is a key process in most data analysis workflows, especially when constructing machine learning models.
ChatGPT-Maker OpenAI Expands Its Global AI For Impact Programme In India | Technology News
New Delhi: ChatGPT maker OpenAI on Tuesday announced the next phase of its global ‘AI for Impact Accelerator Programme’ in India, highlighting a year of support for mission-driven organisations using artificial intelligence to solve real-world social problems. As part of this initiative, 11 nonprofits will receive new API credits, bringing the total value of technical grants under this initiative to $150,000. OpenAI API credits function as a prepaid payment method which means instead of relying on monthly billing through a credit card, users can purchase credits in advance and use them as needed. This effort is now part of the broader ‘OpenAI Academy’, which aims to make AI more accessible, useful, and grounded in solving real challenges. Over the past year, Indian nonprofits supported through the programme have developed and deployed AI tools in critical sectors like healthcare, education, agriculture, disability inclusion, and gender equity — making a visible impact in underserved communities, according to the company. The programme is delivered in partnership with The Agency Fund, Tech4Dev, and Turn.io. It includes hands-on technical guidance, shared learning within a cohort, and early access to OpenAI’s tools. It also reflects OpenAI’s broader commitment to ensuring that AI benefits everyone, especially those in regions with fewer resources. As part of its support, OpenAI also hosted a workshop in India to showcase the capabilities of its latest AI models, helping these organisations design large-scale solutions. The initiative aligns closely with the ‘India AI Mission’, which aims to democratise access to AI, grow a strong ecosystem, and develop tech solutions tailored to India’s unique social and economic needs. The India cohort includes organisations tackling large-scale challenges with the help of AI. Pragya Misra, Policy and Partnerships Lead at OpenAI India, praised the Indian cohort for using AI in thoughtful and impactful ways. She said the organisations reflect the values of the India AI Mission and show how advanced technology can be used with empathy and creativity to solve tough problems. OpenAI plans to expand this initiative further in India, with new organizations expected to join the programme later this year. As it continues to grow its presence, OpenAI is shifting from just providing access to building real, on-the-ground impact — supporting practical, scalable, and human-centered AI solutions.
