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AI LLM Natural Language Processing 
Analytics Vidhya
APRIL 20, 2024
Introduction Large Language Models (LLMs) are becoming increasingly valuable tools in data science, generative AI (GenAI), and AI. LLM development has accelerated in recent years, leading to widespread use in tasks like complex data analysis and natural language processing.
328 
Analytics Vidhya
OCTOBER 12, 2023
Introduction In the field of artificial intelligence, Large Language Models (LLMs) and Generative AI models such as OpenAI’s GPT-4, Anthropic’s Claude 2, Meta’s Llama, Falcon, Google’s Palm, etc., LLMs use deep learning techniques to perform natural language processing tasks.
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AI for Paralegals: Everything You Need to Know (and How to Use It Safely)
The Intersection of AI and Sales: Personalization Without Compromise
How to Achieve High-Accuracy Results When Using LLMs
Beyond the Buzz: How to Turn Marketing Trends into Revenue-Driving Strategies
Analytics Vidhya
JULY 5, 2023
In a world where language is the bridge connecting people and technology, advancements in Natural Language Processing (NLP) have opened up incredible opportunities.
319 
AI News
FEBRUARY 15, 2024
Researchers at Amazon have trained a new large language model (LLM) for text-to-speech that they claim exhibits “emergent” abilities. While an experimental process, the creation of BASE TTS demonstrates these models can reach new versatility thresholds as they scale—an encouraging sign for conversational AI.
334 
Unite.AI
JANUARY 11, 2025
Large Language Models (LLMs) have changed how we handle natural language processing. For example, an LLM can guide you through buying a jacket but cant place the order for you. To bridge this gap, Microsoft is turning LLMs into action-oriented AI agents.
Unite.AI
OCTOBER 30, 2024
Ashish Nagar is the CEO and founder of Level AI , taking his experience at Amazon on the Alexa team to use artificial intelligence to transform contact center operations. What inspired you to leave Amazon and start Level AI? My passion for technology and business led me to AI.
264 
Marktechpost
DECEMBER 6, 2024
The rapid adoption of Large Language Models (LLMs) in various industries calls for a robust framework to ensure their secure, ethical, and reliable deployment. Lets look at 20 essential guardrails designed to uphold security, privacy, relevance, quality, and functionality in LLM applications.
109 
Marktechpost
DECEMBER 19, 2024
The rise of large language models (LLMs) has transformed natural language processing, but training these models comes with significant challenges. Conclusion Picotron represents a step forward in LLM training frameworks, addressing long-standing challenges associated with 4D parallelization.
109 
AWS Machine Learning Blog
FEBRUARY 21, 2025
Similar to how a customer service team maintains a bank of carefully crafted answers to frequently asked questions (FAQs), our solution first checks if a users question matches curated and verified responses before letting the LLM generate a new answer. No LLM invocation needed, response in less than 1 second.
124 
Analytics Vidhya
JANUARY 24, 2024
Introduction Welcome to the world of Large Language Models (LLM). However, in 2018, the “Universal Language Model Fine-tuning for Text Classification” paper changed the entire landscape of Natural Language Processing (NLP). This paper explored models using fine-tuning and transfer learning.
336 
Analytics Vidhya
OCTOBER 9, 2023
Introduction Large language models, or LLMs, have taken the world of natural language processing by storm. They are powerful AI systems designed to generate human-like text and comprehend and respond to natural language inputs.
214 
Analytics Vidhya
MAY 20, 2024
Introduction Artificial intelligence has made tremendous strides in Natural Language Processing (NLP) by developing Large Language Models (LLMs). However, a significant challenge with these models is the phenomenon known as “AI hallucinations.” appeared first on Analytics Vidhya.
Unite.AI
SEPTEMBER 19, 2024
The race to dominate the enterprise AI space is accelerating with some major news recently. This incredible growth shows the increasing reliance on AI tools in enterprise settings for tasks such as customer support, content generation, and business insights. Let's dive into the top options and their impact on enterprise AI.
246 
Unite.AI
NOVEMBER 11, 2024
Machines are demonstrating remarkable capabilities as Artificial Intelligence (AI) advances, particularly with Large Language Models (LLMs). They process and generate text that mimics human communication. This raises an important question: Do LLMs remember the same way humans do? How Human Memory Works?
182 
Unite.AI
OCTOBER 27, 2024
As artificial intelligence continues to reshape the tech landscape, JavaScript acts as a powerful platform for AI development, offering developers the unique ability to build and deploy AI systems directly in web browsers and Node.js has revolutionized the way developers interact with LLMs in JavaScript environments. TensorFlow.js
162 
AWS Machine Learning Blog
MARCH 5, 2025
Enter Chronos , a cutting-edge family of time series models that uses the power of large language model ( LLM ) architectures to break through these hurdles. See quick setup for Amazon SageMaker AI for instructions about setting up a SageMaker domain. Zero shot results are from Chronos: Learning the Language of Time Series.
113 
AWS Machine Learning Blog
FEBRUARY 21, 2025
Fine-tuning a pre-trained large language model (LLM) allows users to customize the model to perform better on domain-specific tasks or align more closely with human preferences. This framework is designed as a compound AI system to drive the fine-tuning workflow for performance improvement, versatility, and reusability.
92 
Unite.AI
APRIL 17, 2024
In recent years, Natural Language Processing (NLP) has undergone a pivotal shift with the emergence of Large Language Models (LLMs) like OpenAI's GPT-3 and Google’s BERT. Using their extensive training data, LLM-based agents deeply understand language patterns, information, and contextual nuances.
236 
NOVEMBER 20, 2024
Retrieval Augmented Generation (RAG) has become a crucial technique for improving the accuracy and relevance of AI-generated responses. The effectiveness of RAG heavily depends on the quality of context provided to the large language model (LLM), which is typically retrieved from vector stores based on user queries.
160 
Analytics Vidhya
DECEMBER 12, 2023
Introduction Hugging Face has become a treasure trove for natural language processing enthusiasts and developers, offering a diverse collection of pre-trained language models that can be easily integrated into various applications. In the world of Large Language Models (LLMs), Hugging Face stands out as a go-to platform.
FEBRUARY 10, 2025
AI agents are rapidly becoming the next frontier in enterprise transformation, with 82% of organizations planning adoption within the next 3 years. According to a Capgemini survey of 1,100 executives at large enterprises, 10% of organizations already use AI agents, and more than half plan to use them in the next year.
161 
Analytics Vidhya
APRIL 19, 2023
OpenAI, the tech startup known for developing the cutting-edge natural language processing algorithm ChatGPT, has warned that the research strategy that led to the development of the AI model has reached its limits.
335 
AWS Machine Learning Blog
FEBRUARY 12, 2025
Large language models (LLMs) have revolutionized the field of natural language processing with their ability to understand and generate humanlike text. Researchers developed Medusa , a framework to speed up LLM inference by adding extra heads to predict multiple tokens simultaneously.
79 
Analytics Vidhya
SEPTEMBER 18, 2024
Introduction Large Language Models (LLMs) contributed to the progress of Natural Language Processing (NLP), but they also raised some important questions about computational efficiency. These models have become too large, so the training and inference cost is no longer within reasonable limits.
Unite.AI
NOVEMBER 6, 2024
Microsoft Research introduced AutoGen in September 2023 as an open-source Python framework for building AI agents capable of complex, multi-agent collaboration. Building on this success, Microsoft unveiled AutoGen Studio, a low-code interface that empowers developers to rapidly prototype and experiment with AI agents.
147 
Towards AI
FEBRUARY 3, 2025
Haseeb Hassan Originally published on Towards AI. The rise of AI is massively affecting the society. AI is being discussed in various sectors like healthcare, banking, education, manufacturing, etc. However, DeepSeek AI is taking a different direction than the current AI Models. What is DeepSeek AI?
AWS Machine Learning Blog
FEBRUARY 5, 2025
As large language models (LLMs) become increasingly integrated into customer-facing applications, organizations are exploring ways to leverage their natural language processing capabilities. We will provide a brief introduction to guardrails and the Nemo Guardrails framework for managing LLM interactions.
107 
IBM Journey to AI blog
JUNE 19, 2024
According to research from IBM ®, about 42 percent of enterprises surveyed have AI in use in their businesses. Of all the use cases, many of us are now extremely familiar with natural language processing AI chatbots that can answer our questions and assist with tasks such as composing emails or essays.
282 
Analytics Vidhya
MAY 8, 2023
Large language models (LLM) such as GPT-4 have significantly progressed in natural language processing and generation. These models are capable of generating high-quality text with remarkable fluency and coherence. However, they often fail when tasked with complex operations or logical reasoning.
288 
Unite.AI
JULY 5, 2023
MosaicML is a generative AI company that provides AI deployment and scalability solutions. Their latest large language model (LLM) MPT-30B is making waves across the AI community. On the HumanEval dataset, the model surpasses purpose-built LLM models, such as the StarCoder series.
264 
Analytics Vidhya
NOVEMBER 1, 2023
Introduction Large Language Models (LLMs) and Generative AI represent a transformative breakthrough in Artificial Intelligence and Natural Language Processing.
Marktechpost
JULY 14, 2024
Large language models (LLMs) have shown exceptional capabilities in understanding and generating human language, making substantial contributions to applications such as conversational AI. Chatbots powered by LLMs can engage in naturalistic dialogues, providing a wide range of services. Check out the Paper.
Analytics Vidhya
JULY 18, 2024
Introduction Imagine a world where AI-generated content is astonishingly accurate and incredibly reliable. Welcome to the forefront of artificial intelligence and natural language processing, where an exciting new approach is taking shape: the Chain of Verification (CoV).
291 
Unite.AI
SEPTEMBER 18, 2024
The field of artificial intelligence is evolving at a breathtaking pace, with large language models (LLMs) leading the charge in natural language processing and understanding. As we navigate this, a new generation of LLMs has emerged, each pushing the boundaries of what's possible in AI.
Unite.AI
SEPTEMBER 7, 2023
In artificial intelligence (AI), the power and potential of Large Language Models (LLMs) are undeniable, especially after OpenAI’s groundbreaking releases such as ChatGPT and GPT-4. Despite rapid transformation, there are numerous LLM vulnerabilities and shortcomings that must be addressed.
173 
Analytics Vidhya
OCTOBER 19, 2023
Introduction Step into the forefront of language processing! In a realm where language is an essential link between humanity and technology, the strides made in Natural Language Processing have unlocked some extraordinary heights.
Marktechpost
JANUARY 11, 2025
Large Language Models (LLMs) have shown remarkable capabilities across diverse natural language processing tasks, from generating text to contextual reasoning. These challenges have driven researchers to seek more efficient ways to enhance LLM performance while minimizing resource demands.
Marktechpost
NOVEMBER 30, 2024
Generative AI systems transform how humans interact with technology, offering groundbreaking natural language processing and content generation capabilities. In conclusion, Llama Guard 3-1B-INT4 represents a significant advancement in safety moderation for generative AI. Don’t Forget to join our 55k+ ML SubReddit.
JANUARY 14, 2025
With the general availability of Amazon Bedrock Agents , you can rapidly develop generative AI applications to run multi-step tasks across a myriad of enterprise systems and data sources. In this post, we cover two primary architectural patterns: fully local RAG and hybrid RAG.
152 
Analytics Vidhya
SEPTEMBER 21, 2023
Introduction Large language models (LLMs) are prominent innovation pillars in the ever-evolving landscape of artificial intelligence. These models, like GPT-3, have showcased impressive natural language processing and content generation capabilities.
AWS Machine Learning Blog
DECEMBER 5, 2024
As generative AI continues to drive innovation across industries and our daily lives, the need for responsible AI has become increasingly important. At AWS, we believe the long-term success of AI depends on the ability to inspire trust among users, customers, and society.
110 
Marktechpost
JANUARY 20, 2025
The automation of radiology report generation has become one of the significant areas of focus in biomedical natural language processing. It’s a vision encoder DINOv2 specifically trained for medical data coupled with an open biomedical large language model called OpenBio-LLM-8B.
82 
AI Weekly
APRIL 11, 2024
We explore how AI can transform roles and boost performance across business functions, customer operations and software development. The Microsoft AI London outpost will focus on advancing state-of-the-art language models, supporting infrastructure, and tooling for foundation models. No legacy process is safe.
264 
Unite.AI
MARCH 11, 2024
As we navigate the recent artificial intelligence (AI) developments, a subtle but significant transition is underway, moving from the reliance on standalone AI models like large language models (LLMs) to the more nuanced and collaborative compound AI systems like AlphaGeometry and Retrieval Augmented Generation (RAG) system.
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