Auto-complete, BERT and Large Language Models - Artificial Intelligence Zone

Best Large Language Models & Frameworks of 2023

AssemblyAI

SEPTEMBER 18, 2023

However, among all the modern-day AI innovations, one breakthrough has the potential to make the most impact: large language models (LLMs). Large language models can be an intimidating topic to explore, especially if you don't have the right foundational understanding. What Is a Large Language Model?

Large Language Models

Large Language Models BERT Auto-complete LLM

Beyond ChatGPT; AI Agent: A New World of Workers

Unite.AI

AUGUST 28, 2023

Transformers and Advanced NLP Models : The introduction of transformer architectures revolutionized the NLP landscape. Systems like ChatGPT by OpenAI, BERT, and T5 have enabled breakthroughs in human-AI communication. AI Agents vs. ChatGPT Many advanced AI agents, such as Auto-GPT and BabyAGI, utilize the GPT architecture.

Auto-complete

Auto-complete ChatGPT Large Language Models Neural Network

TensorRT-LLM: A Comprehensive Guide to Optimizing Large Language Model Inference for Maximum Performance

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. Kernel Auto-tuning : TensorRT automatically selects the best kernel for each operation, optimizing inference for a given GPU. build/tensorrt_llm*.whl

Large Language Models

Large Language Models LLM Auto-complete Natural Language Processing

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Making Sense of the Mess: LLMs Role in Unstructured Data Extraction

Unite.AI

MAY 29, 2024

Unlocking Unstructured Data with LLMs Leveraging large language models (LLMs) for unstructured data extraction is a compelling solution with distinct advantages that address critical challenges. Context-Aware Data Extraction LLMs possess strong contextual understanding, honed through extensive training on large datasets.

Data Extraction

Data Extraction Neural Network Large Language Models NLP

This AI Paper by Microsoft and Tsinghua University Introduces YOCO: A Decoder-Decoder Architectures for Language Models

Marktechpost

MAY 10, 2024

This field primarily enhances machine understanding and generation of human language, serving as a backbone for various applications such as text summarization, translation, and auto-completion systems. Efficient language modeling faces significant hurdles, particularly with large models.

Large Language Models

Large Language Models Auto-complete BERT Machine Learning

FastGen: Cutting GPU Memory Costs Without Compromising on LLM Quality

Marktechpost

MAY 12, 2024

However, these models pose challenges, including computational complexity and GPU memory usage. Despite great success in various applications, there is an urgent need to find a cost-effective way to serve these models. Still, an increase in model size and generation length leads to an increase in memory usage of the KV cache.

LLM

LLM Auto-complete Large Language Models BERT

Training large language models on Amazon SageMaker: Best practices

AWS Machine Learning Blog

MARCH 6, 2023

Language models are statistical methods predicting the succession of tokens in sequences, using natural text. Large language models (LLMs) are neural network-based language models with hundreds of millions ( BERT ) to over a trillion parameters ( MiCS ), and whose size makes single-GPU training impractical.

Large Language Models

Large Language Models LLM Machine Learning Deep Learning

ChatGPT & Advanced Prompt Engineering: Driving the AI Evolution

Unite.AI

AUGUST 1, 2023

The spotlight is also on DALL-E, an AI model that crafts images from textual inputs. One such model that has garnered considerable attention is OpenAI's ChatGPT , a shining exemplar in the realm of Large Language Models. In zero-shot learning, no examples of task completion are provided in the model.

Prompt Engineer

Prompt Engineer Prompt Engineering ChatGPT Convolutional Neural Networks

Introduction to Large Language Models (LLMs): An Overview of BERT, GPT, and Other Popular Models

John Snow Labs

JUNE 27, 2023

Prepare to be amazed as we delve into the world of Large Language Models (LLMs) – the driving force behind NLP’s remarkable progress. In this comprehensive overview, we will explore the definition, significance, and real-world applications of these game-changing models. What are Large Language Models (LLMs)?

Large Language Models

Large Language Models BERT Natural Language Processing NLP

Application modernization overview

IBM Journey to AI blog

NOVEMBER 24, 2023

Generating configuration management inputs (for CMDB)and changing management inputs based on release notes generated from Agility tool work items completed per release are key Generative AI leverage areas. The ability to generate insights for security validation (from application and platform logs, design points, IAC, etc.)

Generative AI

Generative AI Auto-complete DevOps Automation

TimesFM — Google’s Foundational Model for Time Series Forecasting

Towards AI

JULY 13, 2024

Now, imagine a large, pretrained model tailored for time-series data — one that delivers accurate predictions without extensive retraining. Their decoder-only model, inspired by NLP giants like BERT, uses a patch-based approach to handle data efficiently. However, there is a trade-off.

Auto-complete

Auto-complete Neural Network BERT Large Language Models

Creating your whole codebase at once using LLMs – how long until AI replaces human developers?

deepsense.ai

OCTOBER 8, 2023

Introduction While the concept of AI agents has been around for decades, it is undeniable that recent advancements in Large Language Models (LLMs) have revolutionized this field, opening up a whole new realm of possibilities and applications. Cons of Auto-GPT Operating within a loop – the costs can rack up quickly!

Auto-complete

Auto-complete LLM Software Engineer AI

Simplify Deployment and Monitoring of Foundation Models with DataRobot MLOps

DataRobot Blog

FEBRUARY 2, 2023

Large language models, also known as foundation models, have gained significant traction in the field of machine learning. These models are pre-trained on large datasets, which allows them to perform well on a variety of tasks without requiring as much training data. What Are Large Language Models?

BERT

BERT Large Language Models Natural Language Processing Machine Learning

How Tealium built a chatbot evaluation platform with Ragas and Auto-Instruct using AWS generative AI services

AWS Machine Learning Blog

DECEMBER 11, 2024

Two open-source libraries, Ragas (a library for RAG evaluation) and Auto-Instruct, used Amazon Bedrock to power a framework that evaluates and improves upon RAG. Generating improved instructions for each question-and-answer pair using an automatic prompt engineering technique based on the Auto-Instruct Repository.

Generative AI

Generative AI Chatbots Prompt Engineer Prompt Engineering

Breaking Down AutoGPT: What It Is, Its Features, Limitations, Artificial General Intelligence (AGI) And Impact of Autonomous Agents on Generative AI

Marktechpost

JULY 11, 2023

The major reason for the exponentially increasing popularity is the development of Large Language Models. LLMs, the Artificial Intelligence models that are designed to process natural language and generate human-like responses, are trending. What is AutoGPT? Unlike the previous version, GPT 3.5, What is BabyAGI?

Auto-complete

Auto-complete Generative AI Large Language Models OpenAI

Deploy large models at high performance using FasterTransformer on Amazon SageMaker

AWS Machine Learning Blog

APRIL 17, 2023

Quantization and compression can reduce model size and serving cost by reducing the precision of weights or reducing the number of parameters via pruning or distillation. Compilation can optimize the computation graph and fuse operators to reduce memory and compute requirements of a model.

Prompt Engineer

Prompt Engineer Prompt Engineering Deep Learning Machine Learning

Fine-tune a BGE embedding model using synthetic data from Amazon Bedrock

AWS Machine Learning Blog

OCTOBER 23, 2024

It is a family of embedding models with a BERT-like architecture, designed to produce high-quality embeddings from text data. The BGE models come in three sizes: bge-large-en-v1.5: Deploy the model to SageMaker. Auto scaling helps make sure the endpoint can handle varying workloads efficiently.

Auto-complete

Auto-complete Auto-classification Generative AI Artificial Intelligence

Google’s Dr. Arsanjani on Enterprise Foundation Model Challenges

Snorkel AI

MARCH 2, 2023

Today we’re going to be talking essentially about how responsible generative-AI-model adoption can happen at the enterprise level, and what are some of the promises and compromises we face. The foundation of large language models started quite some time ago. What are the promises? Billions of parameters.

Large Language Models

Large Language Models Prompt Engineer Prompt Engineering Neural Network

Google’s Arsanjani on Enterprise Foundation Model Challenges

Snorkel AI

MARCH 2, 2023

Today we’re going to be talking essentially about how responsible generative-AI-model adoption can happen at the enterprise level, and what are some of the promises and compromises we face. The foundation of large language models started quite some time ago. What are the promises? Billions of parameters.

Large Language Models

Large Language Models Prompt Engineer Prompt Engineering Neural Network

LLM Hallucinations 101: Why Do They Appear? Can We Avoid Them?

The MLOps Blog

SEPTEMBER 26, 2024

This “making up” event is what we call a hallucination, a term popularized by Andrej Karpathy in 2015 in the context of RNNs and extensively used nowadays for large language models (LLMs). Self-attention is the mechanism where tokens interact with each other (auto-regressive) and with the knowledge acquired during pre-training.

LLM

LLM Auto-complete Prompt Engineer Prompt Engineering

Dialogue-guided visual language processing with Amazon SageMaker JumpStart

AWS Machine Learning Blog

NOVEMBER 1, 2023

Visual language processing (VLP) is at the forefront of generative AI, driving advancements in multimodal learning that encompasses language intelligence, vision understanding, and processing. Additionally, you benefit from advanced features like auto scaling of inference endpoints, enhanced security, and built-in model monitoring.

Auto-classification

Auto-classification LLM Auto-complete Generative AI

Creating An Information Edge With Conversational Access To Data

Topbots

JUNE 29, 2023

In this article, we will consider the different implementation aspects of Text2SQL and focus on modern approaches with the use of Large Language Models (LLMs), which achieve the best performance as of now (cf. [2]; 3] provides a more complete survey of Text2SQL data augmentation techniques.

Auto-complete

Auto-complete Algorithm Data Scientist Auto-classification

Artificial Intelligence Zone

Best Large Language Models & Frameworks of 2023

Beyond ChatGPT; AI Agent: A New World of Workers

Webinars

Trending Sources

TensorRT-LLM: A Comprehensive Guide to Optimizing Large Language Model Inference for Maximum Performance

Webinars

Making Sense of the Mess: LLMs Role in Unstructured Data Extraction

This AI Paper by Microsoft and Tsinghua University Introduces YOCO: A Decoder-Decoder Architectures for Language Models

FastGen: Cutting GPU Memory Costs Without Compromising on LLM Quality

Training large language models on Amazon SageMaker: Best practices

ChatGPT & Advanced Prompt Engineering: Driving the AI Evolution

Introduction to Large Language Models (LLMs): An Overview of BERT, GPT, and Other Popular Models

Application modernization overview

Top LangChain Books to Read in 2024

TimesFM — Google’s Foundational Model for Time Series Forecasting

Creating your whole codebase at once using LLMs – how long until AI replaces human developers?

Simplify Deployment and Monitoring of Foundation Models with DataRobot MLOps

How Tealium built a chatbot evaluation platform with Ragas and Auto-Instruct using AWS generative AI services

Breaking Down AutoGPT: What It Is, Its Features, Limitations, Artificial General Intelligence (AGI) And Impact of Autonomous Agents on Generative AI

Deploy large models at high performance using FasterTransformer on Amazon SageMaker

Fine-tune a BGE embedding model using synthetic data from Amazon Bedrock

Google’s Dr. Arsanjani on Enterprise Foundation Model Challenges

Google’s Arsanjani on Enterprise Foundation Model Challenges

LLM Hallucinations 101: Why Do They Appear? Can We Avoid Them?

Dialogue-guided visual language processing with Amazon SageMaker JumpStart

Creating An Information Edge With Conversational Access To Data

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