Showing results by author "Anand" in All Categories

Rimjhim, a foodie decides to cope up from her break up by binge eating and she orders from a food app called Grub Station. Her order gets late and she complains on the chat messenger. The replies she got were so warm and empathetic that she falls in love with the person on the other side. Not realising if there is a real person on the other side or an AI.

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 protagonist, the narrative takes you through a journey that will make you question the boundaries that you float in the name of love. The world may see you as crazy, but is it even love if it's not crazy enough.

Gurri, a super-rich haryanvi boy, joins a call centre to learn the English language as he wants to impress his girlfriend. Amrita, a married woman agrees to teach him in return if he'd teach him Haryanvi. They meet to learn the languages but make a beautiful connect with each other, where they do not need words to communicate with each other.

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.

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'.

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.

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!

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'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?

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.

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 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!

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

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

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

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.

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

Acts as a comprehensive guide to the field of Large Language Model (LLM) training, covering various aspects from the basics of natural language processing (NLP) and LLM architecture to advanced techniques like transfer learning, reinforcement learning, and multi-task learning. The book also addresses practical considerations like data collection, preprocessing, and model evaluation while discussing ethical and privacy implications. Lastly, the text includes hands-on exercises an