Showing results by author "Anand" in All Categories

প্রজাপতি ব্রহ্মা রিসেট বোতাম টিপে সমস্ত বিশ্বকে শেষ করতে চান। তিনি মানুষের প্রতি বিরক্ত, তিনি তার সৃষ্টিতে...

"एन्ड ऑफ जीओग्राफी" म्हणजे काय? तंत्रज्ञानामुळे जग कसे बदलत आहे? या दशकात कोणते प्रमुख बदल तंत्रज्ञान...

രാമായണത്തിലെ സ്ത്രീ കഥാപാത്രങ്ങളെ ഉപജീവിച്ചുകൊണ്ട് എഴുതിയ വാല്മീകം, മീനാക്ഷി, ശാന്ത-രാമന്റെ നേര്‍പെങ്ങള്‍...

अंबा, एक राजकुमारी, जिचे कुरु राजकुमार भीष्माने अपहरण केले. स्वतःसाठी नव्हे तर दुसऱ्या साठी. अंबेचे हृदय मात्र...

సృష్టికర్త బ్రహ్మ లోకాన్ని అంతం చేయదలచి రీసెట్ బటన్ ఒత్తడానికి సిద్ధమయ్యాడు. మానవులంటే విసుగు ఆయనకి, వాళ్ళని...

সৃষ্টিকৰ্তা ব্ৰহ্মাই নিজহাতে সজা পৃথিৱীখন ধ্বংস কৰি পেলাব বিচাৰিছে। নিজৰ সৃষ্টিৰ আটাইতকৈ ডাঙৰ ভুল মানুহ নামৰ...

भारतीयच नव्हे तर आंतरराष्ट्रीय उद्योगजगात २०९० ते २०२० हे दशक माहितीयुगाचा सुवर्णकाळ म्हणता येईल. इंटरनेट...

Brahma, the creator, wants to press the reset button and finish off the world. He is fed up with humans, the gravest mistake he made in his creation. Hemanga, the golden swan of Manasarovar loves humans and is horrified that Brahma is going to erase them. He pleads with Brahma to give him a...

AI मुळे नोकऱ्या जाणार का? असे कोणते जॉब्स आहेत जे मशीन करू शकणार नाहीतर? पुढील दशकात नोकरी टिकवायची असेल तर काय...

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

Explains the role of prompt engineering in guiding large language models (LLMs) to solve problems and perform tasks. The document focuses on three prompting techniques: Chain of Thought (CoT), Tree of Thought (ToT), and Self-Reflection, describing how each technique allows LLMs to reason through problems, consider multiple solutions, and analyze their own reasoning process. It then explores the use of prompt engineering in various applications such as multi-modal models, dynamic prompting, and autonomous decision-making. The document concludes with a discussion on the future of prompt engineer

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

This radically new and deeply life-changing guide to the secrets of becoming the person you were always meant to be and manifesting your true destiny, is waiting for you! Let the Cambridge educated Pushkar Anand—#1 bestselling author and visionary founder of the Centre for Infinite Riches®, hold your hand and take you on a transformational journey of self-discovery; a journey within, all the way to your absolute core—your purest self, where the real magic begins.

An introduction to generative AI and LLMs, outlining their history, applications, and key concepts like tokens, embeddings, and attention mechanisms. The guide then delves into the mathematical and statistical foundations of LLMs, covering essential topics such as probability theory, linear algebra, calculus, and deep learning basics. The main focus is on practical aspects of designing and training LLMs, including data collection, data preprocessing, model architectures, training techniques, evaluation metrics, and fine-tuning. The text further explores deploying LLMs in production environment

he historical background of LLMs, key concepts, and various applications, such as text generation, conversational AI, and sentiment analysis. It also dives into practical considerations, including ethical considerations, model architecture, data preparation, training techniques, and deployment strategies. The document further explores advanced topics like model compression, transfer learning, and integrating LLMs with other technologies. The final chapters present case studies demonstrating real-world applications of LLMs in various industries, such as customer support, financial forecasting,

At #CateringSuccessPodcast, we want to help individuals and restaurant owners build a successful catering business. So, let us help you deep dive into the $4 billion catering market in India and a $130 Bn dollar industry worldwide. In each episode of “ the Catering Success Podcast," we will share a step by step process for HOW you can start a thriving catering business. Further, we will bring partners and fellow industry leaders who will share their insights and tactics to ramp up your catering business. So now is the time for you to build your catering strategy! Manvir Singh Anand ...

Viraj falls head over heels in love with his classmate Nimisha, who could make boys on campus go crazy. While his friends Punit and Sahil just want to have fun - despite poor mark-sheets, grace marks to pass, and other everyday adventures - Viraj wants more from his life and love. Life has led Viraj to the edge of a cliff. He has a choice to make - to forget everything and jump or fight. What brought him here? An unrequited love, encounters with law, or the dilemma of grace marks? Where does Viraj's story eventually end?

Философия сикхизма характеризуется логикой, всесторонностью и подходом «без излишеств» к духовному и материальному мирам. Его богословие отличается простотой. В сикхской этике нет конфликта между долгом человека перед собой и долгом перед обществом (сангат). Сикхизм – самая молодая мировая религия, основанная Гуру Нанаком около 500 лет назад. Он подчеркивает веру в высшее существо и создателя (Вахегуру) вселенной

Explores the potential of generative AI to revolutionize telecom operations, improve customer service, and optimize network performance. It covers a wide range of use cases, including network optimization, customer service enhancement, fraud detection, content generation, and network planning. Additionally, it discusses the ethical considerations and implementation strategies for successfully adopting generative AI in the telecom sector.

How to use large language models (LLMs) for enterprise applications. The text covers the basics of LLM technology, setting up an LLM environment, building LLM-powered applications, and integrating LLMs with existing systems. The book also discusses ethical and responsible AI with LLMs, evaluating LLM performance, and case studies of successful LLM implementations in diverse fields like healthcare, finance, and retail. Finally, the excerpt explores emerging trends and technologies in LLM development, including multimodal models, smaller and more efficient models, and adaptive models.