Artificial Corner

JULY 30, 2023

So that’s why I tried in this article to explain LLM in simple or to say general language. Photo by Shubham Dhage on Unsplash Introduction Large language Models (LLMs) are a subset of Deep Learning. No training examples are needed in LLM Development but it’s needed in Traditional Development.

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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. This step effectively communicates the information and context with the LLM , ensuring a comprehensive understanding for accurate output generation.

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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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Topbots

APRIL 29, 2024

Here are a few that might worth your attention: Reasoning with Language Model Prompting: A Survey. This paper, first published in December 2022, may not cover the most recent developments in LLM reasoning but still offers a comprehensive survey of available approaches. Large Language Models Cannot Self-Correct Reasoning Yet.

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Unite.AI

OCTOBER 19, 2023

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. How LLM generates output Once GPT-4 starts giving answers, it uses the words it has already created to make new ones. Showing hidden data.

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Topbots

FEBRUARY 19, 2024

However, building a successful LLM application involves much more than just leveraging advanced technology. When embarking on the journey of building an LLM application, one of the first and most crucial decisions is choosing the foundation model. Create Targeted Evaluation Sets for Comparing LLM Performance in Your Specific Use Case.

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Marktechpost

JANUARY 28, 2024

In the evolving landscape of artificial intelligence and natural language processing, utilizing large language models (LLMs) has become increasingly prevalent. This work requires a deep understanding of language and an ability to embody diverse characters consistently. Check out the Paper and Github.

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Marktechpost

JANUARY 10, 2024

In simple terms, RAG is a natural language processing (NLP) approach that blends retrieval and generation models to enhance the quality of generated content. It addresses challenges faced by Large Language Models (LLMs), including limited knowledge access, lack of transparency, and hallucinations in answers.

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Towards AI

MAY 20, 2023

Technical Challenges Building a custom Language Model (LLM) involves challenges related to model architecture, training, evaluation, and validation. Choosing the appropriate architecture and parameters requires expertise, and training custom LLMs demands advanced machine-learning skills.

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Heartbeat

NOVEMBER 22, 2023

Create a Simple E-commerce Chatbot Using OpenAI + CometLLM Forget about complicated Deep Learning algorithms — making a chatbot is way simpler with OpenAI and CometLLM. Chatbot in Ecommerce (Credit: Maksym Pundyk in ideainyou.com) ?I Feel free to check out this GitHub repository as we move forward in the process.

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Towards AI

MAY 2, 2023

In this post, we explore the concept of querying data using natural language, eliminating the need for SQL queries or coding skills. Natural Language Processing (NLP) and advanced AI technologies can allow users to interact with their data intuitively by asking questions in plain language.

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Towards AI

DECEMBER 28, 2023

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). These models are trained on massive amounts of text data to learn patterns and relationships in the language.

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ODSC - Open Data Science

DECEMBER 13, 2023

In a new report , UC Berkeley researchers have introduced Starling-7B, a revolutionary large language model crafted using Reinforcement Learning from AI Feedback or RLAIF. Researchers hope that this model will help to redefine the landscape of natural language processing, incorporating cutting-edge technologies and methodologies.

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AWS Machine Learning Blog

MARCH 12, 2024

In this post, we discuss how Leidos worked with AWS to develop an approach to privacy-preserving large language model (LLM) inference using AWS Nitro Enclaves. LLMs are designed to understand and generate human-like language, and are used in many industries, including government, healthcare, financial, and intellectual property.

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Towards AI

MARCH 26, 2024

Firstly, it was our first LLM-powered implementation on production, so there’s always a special feeling about that. Secondly, and more importantly, it really opened our eyes to what is possible with LLMs. However, a good corporate culture can translate these uncomfortable discussions into process improvements.

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Marktechpost

JULY 3, 2023

With the release of the latest chatbot developed by OpenAI called ChatGPT, the field of AI has taken over the world as ChatGPT, due to its GPT’s transformer architecture, is always in the headlines. The LLM consumes the text data during training and tries to anticipate the following word or series of words depending on the context.

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Unite.AI

JANUARY 23, 2024

Large language models (LLMs) have exploded in popularity over the last few years, revolutionizing natural language processing and AI. From chatbots to search engines to creative writing aids, LLMs are powering cutting-edge applications across industries.

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Topbots

AUGUST 22, 2023

Large Language Models (LLMs) present a unique challenge when it comes to performance evaluation. Unlike traditional machine learning where outcomes are often binary, LLM outputs dwell in a spectrum of correctness. auto-evaluation) and using human-LLM hybrid approaches. This requires building a custom evaluation set.

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Marktechpost

JUNE 29, 2023

One of the best examples of the trending LLMs is the chatbot developed by OpenAI, called ChatGPT, which imitates humans and has had millions of users since its release. Wanda works well without needing to be retrained or get its weights updated, and the reduced LLM has been applied to inference immediately.

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Marktechpost

FEBRUARY 2, 2024

Also, they aim to understand better the characteristics of stimuli that drive or suppress responses within the language network area of humans. The researchers formulated an encoding model based on a GPT-style LLM to predict the human brain’s reactions to arbitrary sentences presented to participants.

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AssemblyAI

MAY 14, 2024

Speech AI technology (including Speech-to-Text, Audio Intelligence, and LLM capabilities ) has quickly become an integral part of thousands of organizations and developer workflows. It uses natural language processing to identify and organize discussion points, decisions, and future tasks.   Fireflies.ai

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John Snow Labs

JANUARY 29, 2024

Several such case studies were presented by the US Veteran’s Administration , ClosedLoop , and WiseCube at John Snow Labs’ annual Natural Language Processing (NLP) Summit , now the world’s largest gathering of applied NLP and LLM practitioners.

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Marktechpost

JULY 22, 2023

Recently, MLC-LLM has been introduced, which is an open framework that brings LLMs directly into a broad class of platforms like CUDA, Vulkan, and Metal that, too, with GPU acceleration. MLC LLM enables language models to be deployed natively on a wide range of hardware backends, including CPUs and GPUs and native applications.

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Marktechpost

NOVEMBER 29, 2023

With the development of Large Language Models (LLMs) in recent times, these models have brought about a paradigm change in the fields of Artificial Intelligence and Machine Learning. Transparency – RAG implementation enables users to retrieve the sources of the model in LLM-based Q&A systems. How does RAG work?

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Marktechpost

OCTOBER 7, 2023

The emergence of Large Language Models (LLMs) in natural language processing represents a groundbreaking development. One crucial feature that empowers this evolution is the capacity to effectively process long-context inputs. Check out the Paper.

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Unite.AI

SEPTEMBER 1, 2023

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. There is a massive amount of data prep work required by enterprises to make it intelligible for an LLM engine.

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Marktechpost

JANUARY 8, 2024

The review also acknowledges the challenges and potential future developments in LLM technology, laying the groundwork for an in-depth exploration of these advanced models. Recognizing and embracing the growing significance of LLMs in shaping the technological landscape and their impact on society.

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Flipboard

MARCH 30, 2023

They can ingest huge amounts of data, learn from those datasets to improve the algorithm, and perform a variety of natural language processing tasks. LLMs are gaining traction and attention with the proliferation of technologies such as ChatGPT.

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Unite.AI

DECEMBER 4, 2023

Small Language Models (SLM) are emerging and challenging the prevailing narrative of their larger counterparts. Despite their excellent language abilities these models are expensive due to high energy consumption, considerable memory requirements as well as heavy computational costs.

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Marktechpost

JULY 27, 2023

Developed by OpenAI, this chatbot does everything from answering questions precisely, summarizing long paragraphs of textual data, completing code snippets, translating the text into different languages, and so on. It can also translate spoken communication into printed text.

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Marktechpost

JULY 26, 2023

Many recent natural language processing (NLP) community efforts have focused on teaching large language models to understand better and follow instructions. Recent research has demonstrated that LLMs may also benefit from teachings. However, manually developing this kind of instructional data takes time and effort.

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Chatbots Life

MAY 16, 2023

Top 5 Generative AI Integration Companies Generative AI integration into existing chatbot solutions serves to enhance the conversational abilities and overall performance of chatbots. By integrating generative AI, chatbots can generate more natural and human-like responses, allowing for a more engaging and satisfying user experience.

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Mlearning.ai

MAY 5, 2023

However, these early systems were limited in their ability to handle complex language structures and nuances, and they quickly fell out of favor. In the 1980s and 1990s, the field of natural language processing (NLP) began to emerge as a distinct area of research within AI. Let’s create a community!

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NVIDIA

MARCH 18, 2024

Generative AI for Automotive in Full Force at GTC Several NVIDIA partners at GTC are also showcasing their latest generative AI developments using NVIDIA’s edge-to-cloud technology: Cerence’s CaLLM is an automotive-specific LLM that serves as the foundation for the company’s next-gen in-car computing platform, running on NVIDIA DRIVE.

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Marktechpost

DECEMBER 12, 2023

Thanks to the success in increasing the data, model size, and computational capacity for auto-regressive language modeling, conversational AI agents have witnessed a remarkable leap in capability in the last few years. They propose distinct guidelines for labeling LLM output (responses from the AI model) and human requests (input to the LLM).

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ODSC - Open Data Science

DECEMBER 15, 2023

ODSC Recap: UC Berkeley Unveils an Open LLM Starling-7B Trained Using Reinforcement Learning from AI Feedback In a new report, UC Berkeley researchers have introduced Starling-7B, a revolutionary large language model crafted using Reinforcement Learning from AI Feedback or RLAIF.

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ODSC - Open Data Science

NOVEMBER 8, 2023

In this blog, we’ll explore ten key aspects of building generative AI applications, including large language model basics, fine-tuning, and core NLP competencies. LLM Basics First and foremost, you need to understand the basics of generative AI and LLMs, such as key terminology, uses, potential issues, and primary frameworks.

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