Unite.AI

JANUARY 10, 2024

By integrating the sophisticated language processing capabilities of models like ChatGPT with the versatile and widely-used Scikit-learn framework, Scikit-LLM offers an unmatched arsenal for delving into the complexities of textual data. Why Scikit-LLM? and the user-friendly environment of Scikit-learn.

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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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Topbots

JUNE 6, 2023

In October 2022, I published an article on LLM selection for specific NLP use cases , such as conversation, translation and summarisation. Since then, AI has made a huge step forward, and in this article, we will review some of the trends of the past months as well as their implications for AI builders.

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Unite.AI

AUGUST 28, 2023

With advancements in deep learning, natural language processing (NLP), and AI, we are in a time period where AI agents could form a significant portion of the global workforce. These AI agents, transcending chatbots and voice assistants, are shaping a new paradigm for both industries and our daily lives.

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BAIR

MARCH 11, 2024

graduates have each expanded the frontiers of AI research and are now ready to embark on new adventures in academia, industry, and beyond. These fantastic individuals bring with them a wealth of knowledge, fresh ideas, and a drive to continue contributing to the advancement of AI. The actual text for the post content appears below.

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Topbots

JULY 24, 2023

Harnessing the full potential of AI requires mastering prompt engineering. The strategies presented in this article, are primarily relevant for developers building large language model (LLM) applications. Furthermore, these recommendations aren’t exclusive to ChatGPT.

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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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Marktechpost

JANUARY 3, 2024

Significance The following are some tools that can used for LLM application development: LangChain LangChain, an open-source framework, empowers developers in AI and machine learning to seamlessly integrate large language models like OpenAI’s GPT-3.5

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Marktechpost

DECEMBER 12, 2023

Large Language Models (LLMs) like ChatGPT have revolutionized natural language processing, showcasing their prowess in various language-related tasks. However, these models grapple with a critical issue – the auto-regressive decoding process, wherein each token requires a full forward pass.

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Unite.AI

JULY 26, 2023

Since its launch, ChatGPT has been making waves in the AI sphere, attracting over 100 million users in record time. The secret sauce to ChatGPT's impressive performance and versatility lies in an art subtly nestled within its programming – prompt engineering. And this momentum showed no signs of slowing down.

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Marktechpost

JULY 2, 2023

The performance of large language models (LLMs) has been impressive across many different natural language processing (NLP) applications. It anchors the LLM to ChatGPT for its ability to write high-quality, human-like language.

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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%. OpenAI's ChatGPT is a renowned chatbot that leverages the capabilities of OpenAI's GPT models. GPT-4 is a type of LLM called an auto-regressive model which is based on the transformers model.

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Unite.AI

NOVEMBER 14, 2023

OpenAI's ChatGPT Enterprise, with its advanced features, poses a challenge to many SaaS startups. These companies, which have been offering products and services around ChatGPT or its APIs, now face competition from a tool with enterprise-level capabilities. But as we step into this new AI wave, the landscape changes further.

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Marktechpost

OCTOBER 18, 2023

Large language models (LLMs) such as ChatGPT and Llama have garnered substantial attention due to their exceptional natural language processing capabilities, enabling various applications ranging from text generation to code completion. Join our AI Channel on Whatsapp. We are also on WhatsApp.

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Marktechpost

SEPTEMBER 25, 2023

Large Language Models (LLMs) have made significant progress in text creation tasks, among other natural language processing tasks. However, LLMs continue to do poorly in producing complicated structured outputs a crucial skill for various applications, from automated report authoring to coding help.

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Towards AI

FEBRUARY 6, 2024

Leon Eversberg Originally published on Towards AI. LLMs are evolving at a rapid speed. Photo by Johannes Plenio on Unsplash Since the 2017 paper “Attention Is All You Need” invented the Transformer architecture, natural language processing (NLP) has seen tremendous growth. Published via Towards AI

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Unite.AI

JULY 11, 2023

The Artificial Intelligence (AI) ecosystem has evolved rapidly in the last five years, with Generative AI (GAI) leading this evolution. In fact, the Generative AI market is expected to reach $36 billion by 2028 , compared to $3.7 However, advancing in this field requires a specialized AI skillset. billion in 2023.

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John Snow Labs

JULY 19, 2023

Exploring the Innovators and Challengers in the Commercial LLM Landscape beyond OpenAI: Anthropic, Cohere, Mosaic ML, Cerebras, Aleph Alpha, AI21 Labs and John Snow Labs. While OpenAI is well-known, these companies bring fresh ideas and tools to the LLM world. billion in funding by June 2023. billion in funding by June 2023.

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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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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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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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Marktechpost

NOVEMBER 29, 2023

These models have gathered significant attention from the masses and the AI community, resulting in incredible advancements in Natural Language Processing, generation, and understanding. Transparency – RAG implementation enables users to retrieve the sources of the model in LLM-based Q&A systems.

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Towards AI

FEBRUARY 13, 2024

Last Updated on February 13, 2024 by Editorial Team Author(s): Dipanjan (DJ) Sarkar Originally published on Towards AI. Created with DALL-E 3 Introduction In recent years, the landscape of artificial intelligence has undergone a significant transformation with the emergence of Generative AI technologies.

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Topbots

AUGUST 7, 2023

Generated with Midjourney Enterprises in every industry and corner of the globe are rushing to integrate the power of large language models (LLMs) like OpenAI’s ChatGPT, Anthropic’s Claude, and AI12Lab’s Jurassic to boost performance in a wide range of business applications, such as market research, customer service, and content generation.

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IBM Journey to AI blog

FEBRUARY 26, 2024

In January of 2024, Meta CEO Mark Zuckerberg announced in an Instagram video that Meta AI had recently begun training Llama 3. This latest generation of the LLaMa family of large language models (LLMs) follows the Llama 1 models (originally stylized as “LLaMA”) released in February 2023 and Llama 2 models released in July.

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Becoming Human

MAY 15, 2023

Introduction Over the past decade, major breakthroughs have been made in the field of Artificial Intelligence (AI). When it comes to AI, there are a number of subfields, like Natural Language Processing (NLP). One of the models used for NLP is the Large Language Model (LLMs).

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Marktechpost

JUNE 22, 2023

2023 is the year of LLMs. ChatGPT, GPT-4, LLaMA, and, more. A new LLM model is taking the spotlight one after the other. These models have revolutionized the field of natural language processing and are being increasingly utilized across various domains. So how do we approach this dilemma?

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Topbots

MAY 24, 2023

In the realm of generative AI, open-source projects have emerged as powerful tools that democratize access to cutting-edge models and foster collaborative development. Hugging Face: A Hub of Open-Source AI Models Hugging Face stands out as a prime hub for open-source models in various AI domains. Stable LM – open source LLM.

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Marktechpost

JULY 13, 2023

Large language models (LLM) have made great strides recently, demonstrating amazing performance in tasks conversationally requiring natural language processing. Examples include the commercial products ChatGPT, Claude, Bard, text-only GPT-4, and community opensource LLama, Alpaca, Vicuna, ChatGLM, MOSS, etc.

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Unite.AI

SEPTEMBER 1, 2023

Let’s begin here: Yes, the opportunities for Generative AI (GenAI) are immense. Many companies have experience with natural language processing (NLP) and low-level chatbots, but GenAI is accelerating how data can be integrated, interpreted, and converted into business outcomes. And yes, technology is getting smarter.

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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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Mlearning.ai

AUGUST 4, 2023

Fine-tuning large language models (LLMs) has become a powerful technique for achieving impressive performance in various natural language processing tasks. Understanding Fine-Tuning as Supervised Learning Fine-tuning is a widely used technique that enables customising pre-trained language models to specific tasks.

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Unite.AI

APRIL 24, 2024

Meta has recently released Llama 3 , the next generation of its state-of-the-art open source large language model (LLM). Whether you are a researcher, developer, or AI enthusiast, this post will equip you with the knowledge and resources needed to harness the power of Llama 3 for your projects and applications.

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Towards AI

DECEMBER 28, 2023

Last Updated on December 30, 2023 by Editorial Team Author(s): Sudhanshu Sharma Originally published on Towards AI. The introduction of attention mechanisms has notably altered our approach to working with deep learning algorithms, leading to a revolution in the realms of computer vision and natural language processing (NLP).

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Marktechpost

SEPTEMBER 21, 2023

In the ever-evolving landscape of Natural Language Processing (NLP) and Artificial Intelligence (AI), Large Language Models (LLMs) have emerged as powerful tools, demonstrating remarkable capabilities in various NLP tasks. Within the field of IT, the importance of NLP and LLM technologies is on the rise.

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Marktechpost

AUGUST 12, 2023

Human evaluation has been used to evaluate the performance of natural language processing models and algorithms for denoting text quality. They used human and LLM evaluation to evaluate the texts in two NLP tasks: open-ended story generation and adversarial attacks.

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ODSC - Open Data Science

FEBRUARY 14, 2023

Since its release on November 30, 2022 by OpenAI , the ChatGPT public demo has taken the world by storm. It is the latest in the research lab’s lineage of large language models using Generative Pre-trained Transformer (GPT) technology. Like its predecessors, ChatGPT generates text in a variety of styles, for a variety of purposes.

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