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Neha's life turns upside down, loss of job and no man in sight. Neha finally meets Pandeyji again and now a unique plan bridging modern digital world of 2018 is married to ancient Indian science of Astrology to find a soul-mate within 3 months.

Neha finds herself in multiple attraction disorder as she dates multiple men. Pandeyi undergoes a make-over leaving Neha stunned. Is he falling in love with Neha?

24 right swipes to a happy-marriage. Neha takes Pandeyji's plan seriously and her girl-gang shortlist boys according to Pandeyji's dictate!

Cultural shock for Pandeyji with his first time entry in an upmarket pub where incidentally Neha's worst nightmare comes true whilst on a Date. Pandeyji turns her knight in shining armour.

Confessions

Pandeyji is confused between the implication of that kiss and his very own pledge to remain a bachelor till 40. Meanwhile Neha dates a few more men and is confused about the 'one'.

Pandeyji and Neha spend more and more time with each other as he gears her up for the final push with only a handful of dates left. Neha forces Teetotaller Pandeyji to drink and soon and the night turns memorable.

Neha's job comes with a catch-22 situation and Pandeyji's weird dating tips are put to action as Neha starts the first of her many dates in search of a groom.

Neha and her girl-gang hit speed-dating that finally lands her a worthy date. At the same time Neha runs into Pandeyji, an astrologer by passion who pronounces no immediate marriage for Neha!

Neha Chawla, has kissed many a frogs but none that turned into her Prince Charming. On her 27th birthday when her current boyfriend dumps her, she makes a vow to get married in 3 months flat!

Neha's confession leads to chaos and confusion regarding her feelings. However, the girl-gang force her to meet the last, date#12, out of their choice; technically a blind date for Neha. What's in store for her?

Major General Anand Saxena brings to you nine tangible steps to simplify the formidable task of being happy and successful. The mantras in this book will resonate with people of all ages and stages in life and will help to remove mental blockages that often act as fetters to realise our unlimited potential.

Join us for intersectional feminist chat with remarkable women in film from director Amma Asante to multi-award winning composer Nainita Desai. Hosted by F-Rated founder, Holly Tarquini and BBC World Service presenter, journalist Anu Anand exploring all aspects of the film industry by talking to some of the brilliant British women who shape the stories we see on screen.

Looking for real talk on the future of Oil, Gas, Chemicals and Energy? I am Anand Jha, with nearly two decades of experience, this show cuts through the noise around the industry as I chat with industry leaders about their journeys, breakthrough technologies, and what’s next in energy and business. Whether you’re building your career or just curious about the energy industry, this podcast clears up the confusion and delivers insights that matter. Tune in weekly for fresh perspectives and practical advice!

Vector Databases for Generative AI Applications" provides a comprehensive overview of how vector databases empower generative AI applications. It begins by explaining the core concepts of vector embeddings and vector databases, highlighting their advantages over traditional databases for storing and retrieving data based on similarity. The document then details the process of designing and implementing a vector database workflow, including data preprocessing, database selection, and integration with generative AI models. The document also discusses various applications of vector databases in t

A comprehensive guide to understanding and implementing generative AI in the field of drug safety. The document explains the fundamentals of generative AI and its application in pharmacovigilance, including its potential for improving adverse event detection, risk prediction, data augmentation, and signal detection. It also examines the ethical, legal, and regulatory considerations surrounding AI in this domain

Explores the emerging field of generative artificial intelligence, which focuses on creating new content like images, music, and text. The document examines its core concepts and technologies, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformer models. It then details how generative AI is transforming various industries, such as healthcare, finance, manufacturing, and retail, by automating creative processes, improving efficiency, and facilitating innovation

A Comprehensive Guide to Innovation, Implementation, and Continuous Improvement," is a guide to help organizations transition to a new standard or framework known as SGP 32. The document details the key aspects of SGP 32, including its historical context, benefits, challenges, and implementation strategies. It covers areas such as resource allocation, change management, performance metrics, and best practices for achieving a successful transition. The document also explores the future outlook of SGP 32, emphasizing the importance of innovation, continuous improvement, and adapting to evolving

Explains the security considerations for generative artificial intelligence (AI), which is a type of AI capable of creating new content, such as images and text. The document examines common threats to generative AI systems, such as adversarial attacks, data poisoning, and model theft, and presents techniques to mitigate these risks, such as robust training data, adversarial training, and secure data storage. The document also explores the ethical implications of generative AI, including issues of bias and discrimination, and offers guidelines for developing and deploying AI in a responsible

A guide for anyone preparing for interviews about large language models (LLMs). It covers the fundamentals of LLMs and their applications, including concepts like tokenization, embeddings, neural networks, and common NLP tasks. The guide also provides sample interview questions and coding challenges, broken down into basic, intermediate, and advanced categories. The document concludes with advice for interview preparation, including study resources, mock interview tips, and strategies for addressing behavioral questions.

A comprehensive guide to the rapidly developing field of generative artificial intelligence (AI). The document introduces the core concepts, techniques, and applications of generative AI, including its history and evolution, key terminology, and different types of generative models such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and diffusion models. The text provides practical examples, code snippets, and step-by-step instructions to help readers develop their own generative AI systems. Furthermore, the document explores advanced techniques like fine-tuning