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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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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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.

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Analytics Vidhya

NOVEMBER 1, 2023

Introduction Large Language Models (LLMs) and Generative AI represent a transformative breakthrough in Artificial Intelligence and Natural Language Processing.

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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).

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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.

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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.

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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.

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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.

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Unite.AI

FEBRUARY 7, 2024

This is why Machine Learning Operations (MLOps) has emerged as a paradigm to offer scalable and measurable values to Artificial Intelligence (AI) driven businesses. LLMs are deep neural networks that can generate natural language texts for various purposes, such as answering questions, summarizing documents, or writing code.

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IBM Journey to AI blog

APRIL 26, 2024

As large language models (LLMs) have entered the common vernacular, people have discovered how to use apps that access them. Modern AI tools can generate, create, summarize, translate, classify and even converse. Tools in the generative AI domain allow us to generate responses to prompts after learning from existing artifacts.

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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.

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Marktechpost

OCTOBER 10, 2024

Current AI models focus on specialized tasks within this pipeline, but their limited scope can hinder performance. The Therapeutics Data Commons (TDC) offers datasets to help AI models predict drug properties, yet these models work independently. Tx-LLM was fine-tuned from PaLM-2 using this data.

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Analytics Vidhya

MAY 6, 2023

Introduction Large Language Models (LLMs) are now widely used in a variety of applications, like machine translation, chat bots, text summarization , sentiment analysis , making advancements in the field of natural language processing (NLP).

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Unite.AI

NOVEMBER 29, 2023

Furthermore, developers have demonstrated that these smaller LLM frameworks can be trained further using a proprietary-models based dSFT or Distilled Supervised Fine-Tuning approach, that uses the output from an effective teacher model as supervised data for the student model in an attempt to boost the accuracy.

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Unite.AI

OCTOBER 19, 2023

Sequoia Capital projected that “generative AI can enhance the efficiency and creativity of professionals by at least 10%. GPT-4 is a type of LLM called an auto-regressive model which is based on the transformers model. A prompt injection attack is when a hacker feeds a text prompt to an LLM or chatbot. Showing hidden data.

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Unite.AI

AUGUST 5, 2024

It is popular among journalists these days to warn that AI might have catastrophic effects on humanity. To understand why, let’s take a closer look at the sub-disciplines that we collectively call AI. AI is the widest umbrella term, but we can generally break it down into rule-based systems and machine-learning systems.

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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.

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Towards AI

NOVEMBER 13, 2024

Author(s): Isuru Lakshan Ekanayaka Originally published on Towards AI. image source Large Language Models (LLMs) like GPT-4 have transformed industries by enabling advanced natural language processing, content generation, and more. Join thousands of data leaders on the AI newsletter.

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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.

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AssemblyAI

MAY 3, 2023

In the grand tapestry of modern artificial intelligence, how do we ensure that the threads we weave when designing powerful AI systems align with the intricate patterns of human values? This question lies at the heart of AI alignment , a field that seeks to harmonize the actions of AI systems with our own goals and interests.

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Unite.AI

JANUARY 2, 2024

Large Language Models (LLMs) have contributed to advancing the domain of natural language processing (NLP), yet an existing gap persists in contextual understanding. RAG leverages the vast external knowledge through retrievals, enhancing LLMs’ ability to generate precise, accurate, and contextually rich responses.

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AssemblyAI

JANUARY 12, 2024

AI applications are set to contribute $15.7 trillion to the global economy by 2030, with 35% of businesses having already integrated AI technology.    AI Speech-to-Text, a component of Speech AI, uses cutting-edge Automatic Speech Recognition (ASR) models to transcribe and process speech into readable text.

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Marktechpost

JULY 3, 2024

In the dynamic world of technology, Large Language Models (LLMs) have become pivotal across various industries. Their adeptness at natural language processing, content generation, and data analysis has paved the way for numerous applications.

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IBM Journey to AI blog

SEPTEMBER 19, 2023

Using generative artificial intelligence (AI) solutions to produce computer code helps streamline the software development process and makes it easier for developers of all skill levels to write code. It can also modernize legacy code and translate code from one programming language to another.

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Unite.AI

NOVEMBER 14, 2023

Unlike GPT-4, which had information only up to 2021, GPT-4 Turbo is updated with knowledge up until April 2023, marking a significant step forward in the AI's relevance and applicability. The mundane tasks of programming may soon fall to AI, reducing the need for deep coding expertise. AI's influence in programming is already huge.

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AI Weekly

FEBRUARY 22, 2024

Powered by clkmg.com In the News House launching bipartisan AI task force The House announced Tuesday it will launch a bipartisan task force centered on AI. ucf.edu Generative AI and Generative Conversations: Contrasting Futures for Organizational Change? venturebeat.com Ethics China’s Rush to Dominate A.I.

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Unite.AI

JULY 4, 2024

Google Open Source LLM Gemma In this comprehensive guide, we'll explore Gemma 2 in depth, examining its architecture, key features, and practical applications. Google AI Studio For quick experimentation without hardware requirements, you can access Gemma 2 through Google AI Studio.

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Marktechpost

MAY 25, 2024

Large Language Models (LLMs) have driven remarkable advancements across various Natural Language Processing (NLP) tasks. The progression in this field continues to transform how machines comprehend and process language, opening new avenues for research and development. Check out the Paper.

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Unite.AI

SEPTEMBER 13, 2024

As the demand for large language models (LLMs) continues to rise, ensuring fast, efficient, and scalable inference has become more crucial than ever. NVIDIA's TensorRT-LLM steps in to address this challenge by providing a set of powerful tools and optimizations specifically designed for LLM inference.

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