Chatbots Life

AUGUST 23, 2024

Large Language Models have emerged as the central component of modern chatbots and conversational AI in the fast-paced world of technology. The use cases of LLM for chatbots and LLM for conversational AI can be seen across all industries like FinTech, eCommerce, healthcare, cybersecurity, and the list goes on.

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Marktechpost

MARCH 25, 2024

Large Language Models (LLMs) like ChatGPT, Google’s Bert, Gemini, Claude Models, and others have emerged as central figures, redefining our interaction with digital interfaces. LLM is an AI system designed to understand, generate, and work with human language on a large scale. What are Large Language Models?

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Artificial Corner

JULY 30, 2023

In this world of complex terminologies, someone who wants to explain Large Language Models (LLMs) to some non-tech guy is a difficult task. So that’s why I tried in this article to explain LLM in simple or to say general language. No training examples are needed in LLM Development but it’s needed in Traditional Development.

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Unite.AI

AUGUST 28, 2023

These AI agents, transcending chatbots and voice assistants, are shaping a new paradigm for both industries and our daily lives. Chatbots & Early Voice Assistants : As technology evolved, so did our interfaces. Tools like Siri, Cortana, and early chatbots simplified user-AI interaction but had limited comprehension and capability.

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John Snow Labs

AUGUST 22, 2023

The new release delivers material speedups for calculating text embeddings, a critical step in populating vector databases for RAG LLM and Semantic Search applications. These cover the most widely used transformer architectures such as BERT, RoBERTa, DeBERTa, ALBERT, DistilBERT, XLM-RoBERTa, and CamamBERT.

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AssemblyAI

SEPTEMBER 18, 2023

Below, we'll give you the basic know-how you need to understand LLMs, how they work, and the best models in 2023. A large language model (often abbreviated as LLM) is a machine-learning model designed to understand, generate, and interact with human language. LLMs generate text. What Is a Large Language Model?

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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. LLMs utilize embeddings to understand word context.

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Unite.AI

JUNE 20, 2024

Large Language Models (LLMs) are capable of understanding and generating human-like text, making them invaluable for a wide range of applications, such as chatbots, content generation, and language translation. However, deploying LLMs can be a challenging task due to their immense size and computational requirements.

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Marktechpost

APRIL 16, 2024

LangChain is an open-source framework that allows developers to build LLM-based applications easily. It provides for easily connecting LLMs with external data sources to augment the capabilities of these models and achieve better results. It teaches how to build LLM-powered applications using LangChain using hands-on exercises.

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Auto-complete Large Language Models Prompt Engineer Prompt Engineering 105

Unite.AI

NOVEMBER 20, 2023

Its robust natural language capabilities empower developers to build and fine-tune powerful chatbots, language translation, and content generation systems. Applications & Impact Meta's Llama is compared to other prominent LLMs, such as BERT and GPT-3.

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Unite.AI

AUGUST 1, 2023

GPT-4: Prompt Engineering ChatGPT has transformed the chatbot landscape, offering human-like responses to user inputs and expanding its applications across domains – from software development and testing to business communication, and even the creation of poetry. This demonstrates a classic case of ‘knowledge conflict'.

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AssemblyAI

JUNE 27, 2023

AudioLM’s two main components w2v-BERT and SoundStream are used to represent semantic and acoustic information in audio data ( source ). These dependencies are crucial to capturing recurring or evolving patterns over time and can be of both semantic and acoustic type.

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Flipboard

DECEMBER 26, 2024

The ever-growing presence of artificial intelligence also made itself known in the computing world, by introducing an LLM-powered Internet search tool, finding ways around AIs voracious data appetite in scientific applications, and shifting from coding copilots to fully autonomous coderssomething thats still a work in progress. Perplexity.ai

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AssemblyAI

MAY 23, 2023

Large Language Models In recent years, LLM development has seen a significant increase in size, as measured by the number of parameters. This trend started with models like the original GPT and ELMo, which had millions of parameters, and progressed to models like BERT and GPT-2, with hundreds of millions of parameters.

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Towards AI

DECEMBER 28, 2023

Here are 11 pillars for building expertise in GenAI: Basics of Python- Python serves as a prominent programming language for working with large language models (LLMs) due to its versatility, extensive libraries, and community support. Learning the basics of transformers which is the core of LLM is imperative for a professional.

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Marktechpost

JULY 4, 2023

Applications of LLMs The chart below summarises the present state of the Large Language Model (LLM) landscape in terms of features, products, and supporting software. Chatbot/support agent assist Tools like LaMDA, Rasa, Cohere, Forethought, and Cresta can be used to power chatbots or enhance the productivity of customer care personnel.

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Unite.AI

FEBRUARY 23, 2024

As the course progresses, “Language Models and Transformer-based Generative Models” take center stage, shedding light on different language models, the Transformer architecture, and advanced models like GPT and BERT. Building a customer service chatbot using all the techniques covered in the course.

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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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AWS Machine Learning Blog

DECEMBER 11, 2024

For each question, an expected answer (ground truth), LLM output (answer), and a list of contexts (retrieved chunks) were inputted. Then, the evaluation LLM validates the attribution of the generated statement to the context. To calculate this score, the LLM is asked to generate multiple questions from a given answer.

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Flipboard

JUNE 20, 2023

For reference, GPT-3, an earlier generation LLM has 175 billion parameters and requires months of non-stop training on a cluster of thousands of accelerated processors. Training experiment: Training BERT Large from scratch Training, as opposed to inference, is a finite process that is repeated much less frequently.

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John Snow Labs

JUNE 27, 2023

Instead of navigating complex menus or waiting on hold, they can engage in a conversation with a chatbot powered by an LLM. The LLM analyzes the customer’s query, processes the natural language input, and generates a contextual response in real-time. Pythia: Pythia is a vision and language LLM developed by EleutherAI.

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Marktechpost

APRIL 1, 2024

Although large language models (LLMs) had been developed prior to the launch of ChatGPT, the latter’s ease of accessibility and user-friendly interface took the adoption of LLM to a new level. It provides codes for working with various models, such as GPT-4, BERT, T5, etc., and explains how they work.

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Flipboard

JULY 4, 2023

From education and finance to healthcare and media, LLMs are contributing to almost every domain. Famous LLMs like GPT, BERT, PaLM, and LLaMa are revolutionizing the AI industry by imitating humans. The field of Artificial Intelligence is booming with every new release of these models.

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Snorkel AI

FEBRUARY 13, 2024

Large language model distillation isolates LLM performance on a specific task and mirrors its functionality in a smaller format. LLM distillation basics Multi-billion parameter language models pre-trained on millions of documents have changed the world. What is LLM distillation? How does LLM distillation work?

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Snorkel AI

FEBRUARY 13, 2024

Large language model distillation isolates LLM performance on a specific task and mirrors its functionality in a smaller format. LLM distillation basics Multi-billion parameter language models pre-trained on millions of documents have changed the world. What is LLM distillation? How does LLM distillation work?

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Marktechpost

JUNE 12, 2023

This chatbot, based on Natural Language Processing (NLP) and Natural Language Understanding (NLU), allows users to generate meaningful text just like humans. Other LLMs, like PaLM, Chinchilla, BERT, etc., It basically adjusts the parameters of an already trained LLM using a smaller and domain-specific dataset.

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Marktechpost

JULY 22, 2023

The well-known large language models such as GPT, DALLE, and BERT perform extraordinary tasks and ease lives. 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.

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LLM Large Language Models Natural Language Processing Artificial Intelligence 52

Pickl AI

DECEMBER 24, 2024

BERT (Bidirectional Encoder Representations from Transformers) : A transformer-based model that provides contextual embeddings for words in a sentence, capturing nuanced meanings based on surrounding words. Data Preparation The retrieved data often requires preprocessing before being sent to the language model (LLM).

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Pickl AI

DECEMBER 5, 2024

It is ideal for creating robust AI solutions across various industries, from chatbots to personalised recommendation systems. Ideal for building intelligent chatbots, personalised recommendations, and automated content generation. Integration with LLMs LangChain shines in its integration with LLMs like GPT , BERT, and others.

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Topbots

JULY 6, 2023

Like other large language models, including BERT and GPT-3, LaMDA is trained on terabytes of text data to learn how words relate to one another and then predict what words are likely to come next. The second pre-training stage performs vision-to-language generative learning by connecting the output of the Q-Former to a frozen LLM.

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Snorkel AI

MARCH 1, 2023

BERT BERT, an acronym that stands for “Bidirectional Encoder Representations from Transformers,” was one of the first foundation models and pre-dated the term by several years. BERT proved useful in several ways, including quantifying sentiment and predicting the words likely to follow in unfinished sentences.

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Snorkel AI

MAY 25, 2023

At inference time, users provide “prompts” to the LLM—snippets of text that the model uses as a jumping-off point. BERT, the first breakout large language model In 2019, a team of researchers at Goole introduced BERT (which stands for bidirectional encoder representations from transformers). The new tool caused a stir.

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Snorkel AI

MAY 25, 2023

At inference time, users provide “prompts” to the LLM—snippets of text that the model uses as a jumping-off point. BERT, the first breakout large language model In 2019, a team of researchers at Goole introduced BERT (which stands for bidirectional encoder representations from transformers). The new tool caused a stir.

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ODSC - Open Data Science

NOVEMBER 8, 2023

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. Do you want a chatbot, a Q&A system, or an image generator? There are a number of different ways to fine-tune an LLM. Plan accordingly!

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deepsense.ai

NOVEMBER 9, 2024

On the other hand, the more demanding the task – the higher the risk of LLM hallucinations. In this article, you’ll find: what the problem with hallucination is, which techniques we use to reduce them, how to measure hallucinations using methods such as LLM-as-a-judge tips and tricks from my experience as an experienced data scientist.

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Towards AI

JUNE 27, 2024

Examples of general-purpose models include GPT-3, T5, and BERT. It’s not black and white though most of the time, you could choose to mix and match LLMs and Small Language Models (SLMs). A LLM can be your orchestrator, calling out to SLMs as agents responsible for […]

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Heartbeat

MAY 29, 2023

LLMs like GPT-3 and T5 have already shown promising results in various NLP tasks such as language translation, question-answering, and summarization. However, LLMs are complex, and training and improving them require specific skills and knowledge. LLMs rely on vast amounts of text data to learn patterns and generate coherent text.

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