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Mehak and Aakarshan are in love, but Mehak is in a relationship with someone else. The complicated lives of these complicated city people leads them to point where they must make a firm choice. Loving someone doesn't necessarily mean that you have to be with that person. The most important thing...

Sunder a cool gangster, who never misses his target, falls in love with a girl while executing an assassination job. He falls so bad that he crosses all the limits for his love. Love actually becomes a primal necessity for him to live. Exploring the influence that the love drug has on the...

Sonam was kept away from color RED since the time she was born, because of a prophecy by a godman. But as she hit puberty she couldn't keep herself away from the color of love. And fall in love with the first man she encounters when she wore red. This story is about the fierce nature of first...

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'...

Neha ka Self-goal 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...

Ek Anaar 4 Bimaar 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!...

Kaisa Hogaa Neha ka Pati 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!...

Tinder meets Jyotishvidya 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...

Phata poster nikla hero 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...

Pyar kia nehi jaata ho jata hai 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?...

The forced kiss 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...

The Pledge 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!...

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!

This document is a comprehensive guide to the business applications of generative AI, a subfield of artificial intelligence that focuses on creating new content or data. It covers a wide range of topics, including the history and key technologies of generative AI, its applications in different industries like healthcare, finance, and retail, the process of building and deploying generative AI systems, and the ethical, legal, and regulatory considerations associated with its use. The document concludes by outlining the future trends of generative AI and providing a roadmap for businesses to ado

Overview of how to understand, train, and deploy large language models (LLMs), powerful AI systems capable of processing and generating human-like text. The guide begins by defining LLMs and their key concepts, then covers setting up an environment, collecting and preparing training data, selecting appropriate LLM architectures, and training the model itself. Further chapters explore how to fine-tune pre-trained LLMs for specific tasks, deploy these models for real-world applications, and evaluate their performance using various metrics

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

A comprehensive overview of how generative AI is transforming business operations, specifically within the context of NetSuite, a leading cloud-based ERP platform. The document explores the opportunities for integrating AI, particularly generative AI, to enhance decision-making, automate workflows, and improve customer experiences across various business functions. It also covers the technical aspects of integrating AI with NetSuite, including the use of APIs, data pipelines, and custom AI models.

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

Comprehensive guide to large language models (LLMs), artificial intelligence systems designed to understand and manipulate human language. It covers the history and evolution of LLMs, including key concepts like the Transformer architecture and attention mechanisms. The document then explores popular LLM models, such as GPT-3 and BERT, along with their use cases and applications in various industries, including business, finance, marketing, entertainment, and healthcare. The text further details the training process for LLMs, including data collection, preprocessing, and optimization technique