Machine Learning vs Deep Learning [Key Differences & Applications]
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In the dynamic landscape of AI, two revolutionary concepts have emerged as game-changers: Machine Learning (ML) and Deep Learning (DL). While often used interchangeably, they possess distinct characteristics and applications that set them apart. Machine Learning (ML) and Deep Learning (DL) represent two pivotal technologies in the field of artificial intelligence. What is ML? Machine Learning is the broader concept where computers are trained to perform tasks by processing and learning fr [...]
Tutorial: How to Create Chatbots using Large Language Models (LLMs)?
What you'll learn in this tutorial? Enhancing Chatbots with Advanced Language Models Essential Setup for Chatbot Development Model Selection for Optimal Performance Core Chatbot Building Techniques Backend Development and Deployment Designing an Intuitive Chat Interface Effective Chatbot Interaction Management Practical Testing and Debugging Methods What you'll get in this tutorial? A video tutorial to create your first Opensource LLM chatbot Hugging Face T [...]
The Quantum Leap: How Quantum Computing Will Shape the Future of Large Language Models
Did you know that generative language AI could increase the global GDP by 7% in the coming decade (Source)? The leaps of progress in the field of AI have led to multiple connected developments like no code AI tools, large language models (LLMs), and natural language processing (NLP). And now we also see quantum computing emerging as a transformative force driving the next generation LLMs. Quantum computing holds immense potential to revolutionize the way we build and utilize large language model [...]
Navigating Complex Frontiers: Challenges and Critiques in Large Language Model Development
This is the golden age of artificial intelligence (AI). According to a recent study, the market for AI is expected to grow exponentially in the coming decade. Its value is expected to grow to nearly two trillion U.S. dollars by 2030 (Source). As AI is evolving and growing rapidly, numerous different technologies like AI-driven no-code development platforms, generative AI, NLP, chatbots, etc. have emerged in the foreground. However, it is the rise of Large Language Models (LLMs), that has brought [...]
Unveiling the Future: Exploring Next-Generation LLM Architectures
The rapid evolution of technology in the field of artificial intelligence and natural language processing has completely reshaped the way we interact with machines and process data and is still evolving as we speak. The emergence of AI-powered no-code platforms is a proven testament to it. The global AI market is expected to reach a value of $1.35 trillion by 2030 (Source). Among all these wonderfully thrilling developments in recent years, one of the most noticeable is the emergence of the next [...]
Future of Large Language Models: Speculating the advancements, improvements, and transformations in LLM technology
The fairly recent launch of ChatGPT has brought about a whirlwind interest in the concept of AI, NLP, and LLMs. Of course, Artificial Intelligence, the bigger umbrella is the one that is most often talked about in this regard, and the massive demand and predicted growth of the AI market demonstrates that the technology is here to stay for a long time to come. The global AI market size is projected to reach $1,811.8 billion by 2030 (Source). NLP a branch of AI is also witnessing a massive inte [...]
Exploring Diverse LLM Use Cases: Industry Specific Applications of LLMs
According to Deloitte (2022), 94% of business leaders believe that AI will be important for a business to be successful (Source). NLP or Natural Language Processing is a branch of this esteemed field with a global revenue expected to cross $43 billion by the year 2025 (Source). With great leaps of advancement in the field of NLP, large language models or LLMs have emerged to great significance. LLMs have demonstrated remarkable capabilities in understanding and generating human-like text, rev [...]
How to Conquer Challenges in Fine-Tuning Large Language Models?
AI has been around for some time now, but in recent times, the progress has been exponential with innovative concepts like AI-driven no-code development emerging as a lucrative opportunity and tool. The world of artificial intelligence (AI) and natural language processing (NLP) has witnessed remarkable advancements in recent years, and at the forefront of these innovations are Large Language Models (LLMs). 45% of surveyed executives say the popularity of ChatGPT - the iconic generative AI pl [...]
Best Practices for Large Language Model Specialization
In recent years, AI-based no-code platforms, particularly generative AI like Large Language Models (LLMs) have taken the field of natural language processing by storm. It is predicted that by the year 2030, generative AI will contribute an impressive $4.31 trillion to the market, and lying in the middle of all this is the modern-day LLM (Source). Large Language models, like GPT-3, have demonstrated impressive capabilities in understanding and generating human-like text. However, not everythi [...]
How to Customize LLM Models for Specific Tasks, Industries, or Applications?
The world of AI and Natural Language Processing are emerging to great significance with no code AI driven platforms taking up space in the mainstream. This is demonstrated by the fact that the NLP market in 2025 is projected to become almost 14 times than it was in 2017, increasing from around $3 billion in 2017 to over $43 billion in 2025 (Source). And in this very realm, Large Language Models (LLMs) have gained massive popularity for understanding and generating human-like text. There are [...]
Large Language Models: An Introduction to Fine-Tuning and Specialization in LLMs
Artificial intelligence is evolving as a technology and AI-based no-code platforms are becoming a familiar concept, large language models have become truly wonderful in transforming how we as humans interact with technology. The modern-day large language models have now developed the ability to understand and generate human-like text, opening up endless possibilities across various domains. The varied use cases of LLMs across diverse industries is a clear indication of how well integrated th [...]
Training Large Language Models: Delving Deep into Methodologies, Challenges, and Best Practices for Training LLMs
Natural language processing has seen major improvements with the introduction of large language models (LLMs) like ChatGPT and BARD AI. These advancements are even being integrated into no-code platforms, making advanced NLP functionalities more accessible to a broader audience. Using a lot of data and new deep learning methods, these models are better at understanding and creating text that sounds like it's written by humans. This blog delves into the methodologies, training approaches, uses, e [...]
What You Need to Know About Responsible AI and LLMs?
The convergence of artificial intelligence (AI) and large language models (LLMs) has led to remarkable breakthroughs in natural language processing, enabling machines to comprehend and generate human-like text. This advancement has found applications in fields as diverse as customer service, content generation, healthcare, and legal research. However, with this progress comes the responsibility to ensure that these technologies are developed, deployed, and used in ways that align with ethical an [...]
Top 10 Real-world Applications of Large Language Models
Large Language Models (LLMs) have rapidly emerged as groundbreaking technologies with transformative applications across industries. These advanced AI systems, built upon vast datasets and intricate neural network architectures, possess the remarkable capability to comprehend and generate human-like text. From revolutionizing customer interactions through chatbots to revolutionizing content creation, translation, and even healthcare diagnostics, LLMs are redefining how businesses operate, commun [...]
Evolution of Language Models: From Rules-Based Models to LLMs
The evolution of language models represents a captivating journey that has revolutionized the field of artificial intelligence and natural language processing. Over the decades, these models have transitioned from rudimentary rule-based systems to complex neural networks capable of generating coherent and contextually relevant text. This transformation has been fueled by advancements in computing power, the availability of vast text corpora, and innovative architectural designs. Furthermore, [...]
LLMs vs. Traditional Language Models: A Comparative Analysis
In recent years, the field of natural language processing (NLP) has witnessed remarkable advancements, driven in large part by the development of Language Models (LMs). Traditional LMs paved the way for a multitude of applications, but with the emergence of Large Language Models (LLMs), such as GPT-3, a new era in NLP has dawned.With the integration of no-code AI development platforms, even those without extensive technical expertise can harness the capabilities of LLMs, further democratizing th [...]
The Cost Implications of Large Language Model (LLM) Training
The field of artificial intelligence (AI) has witnessed significant advancements, with large language models (LLMs) standing out as some of the most remarkable achievements. These models, such as OpenAI's GPT-3 and chatbots, are capable of generating human-like text and have found applications in a wide range of industries, from content generation to customer support. 35% of businesses expect cost to be the main challenge in implementing LLMs (Source). However, the development and training of [...]
How to Speed Up LLM Training with Distributed Systems?
Large language models (LLMs) have taken center stage due to their ability to understand and generate human-like text. These models have shown remarkable performance in a wide range of applications, from text completion and translation to content generation and chatbot conversations. However, training these models is no small feat. 37% of businesses plan to deploy hybrid cloud models for LLMs (Source). Training an LLM can be incredibly resource-intensive and time-consuming, often taking weeks or [...]
Addressing Overfitting and Underfitting in LLM Training
In today’s world, language models have taken center stage due to their remarkable ability to comprehend, generate, and manipulate human language. 30% of businesses plan to use unstructured data to improve the accuracy of LLMs (Source). One of the fundamental challenges in training these language models is striking the right balance between complexity and generalization. This challenge is encapsulated in the concepts of overfitting and underfitting, which are critical aspects of model training [...]
The Dark Side of Language Models: Exploring the Challenges of Bias in LLMs.
Language models (LLMs) are artificial intelligence systems that can generate natural language texts based on some input, such as a word, a phrase, a sentence, or a paragraph. LLMs can perform various natural language tasks, such as text summarization, machine translation, question answering, text generation, and conversational agents. LLMs have become increasingly powerful and popular in recent years, thanks to the advances in deep learning, large-scale data, and computational resources. Howe [...]
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