Marktechpost

JANUARY 23, 2024

Advanced prompting mechanisms, control flow, contact with external environments, many chained generation calls, and complex activities are expanding the utilization of Large Language Models (LLMs). In the second scenario, compiler optimizations like code relocation, instruction selection, and auto-tuning become possible.

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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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Unite.AI

AUGUST 28, 2023

Current Landscape of AI Agents AI agents, including Auto-GPT, AgentGPT, and BabyAGI, are heralding a new era in the expansive AI universe. AI Agents vs. ChatGPT Many advanced AI agents, such as Auto-GPT and BabyAGI, utilize the GPT architecture. Their primary focus is to minimize the need for human intervention in AI task completion.

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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)?

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Marktechpost

JUNE 4, 2023

Large Language Models (LLMs) have successfully catered their way into the challenging areas of Artificial Intelligence. With their amazing ability to produce unique and creative content with great linguistic accuracy and consistency, LLMs are helping out in every industry.

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AssemblyAI

SEPTEMBER 29, 2023

Using Automatic Speech Recognition (also known as speech to text AI , speech AI, or ASR), companies can efficiently transcribe speech to text at scale, completing what used to be a laborious process in a fraction of the time. It would take weeks to filter and categorize all of the information to identify common issues or patterns.

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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. Start small.

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NVIDIA

MARCH 18, 2024

NVIDIA GTC , running this week at the San Jose Convention Center, will spotlight the groundbreaking work NVIDIA and its partners are doing to bring the transformative power of generative AI , large language models and visual language models to the mobility sector.

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IBM Journey to AI blog

SEPTEMBER 19, 2023

It can also modernize legacy code and translate code from one programming language to another. Auto-generated code suggestions can increase developers’ productivity and optimize their workflow by providing straightforward answers, handling routine coding tasks, reducing the need to context switch and conserving mental energy.

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Marktechpost

MARCH 16, 2024

This system transcends the limitations of existing solutions by leveraging natural language (NL) descriptions to automate the generation of ML workflows. Auto-parallelization: This feature enables the system to optimize the execution of large workflows, further improving computational performance.

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Mlearning.ai

JULY 4, 2023

This is probably the easiest way to run an LLM for free on your PC Created using Midjourney. If you would like to be able to test different LLMs locally for free and happen to have a GPU powered PC at home you’re in luck — thanks to the wonderful Open Source community, running different LLMs on Windows is very straightforward.

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Artificial Corner

AUGUST 29, 2023

Spark conversations through the cloud with serverless GPUs powering your most advanced Hugging Face large language models. For developers working with large language models, the constraints of hardware can often hold back the boundaries of what’s possible. image created by the author and Leonardo.ai

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Flipboard

JUNE 13, 2023

For instance, we’ve used LLM models, including ChatGPT, with a fair amount of success to assist with internal tasks like migrating from one programming language to another, helping developers understand legacy code written by other colleagues, or writing functions for converting data formats. .”

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Dlabs.ai

NOVEMBER 15, 2023

A recent MIT study points to this , showing how when white-collar workers had access to an assistive chatbot, it took them 40% less time to complete a task, while the quality of their work increased by 18%. When To Use A Tool Like Copilot ChatGPT isn’t the only large language model-based tool out there.

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AssemblyAI

SEPTEMBER 13, 2023

You can also change the type of summary generated and the summary model used by adjusting the specified parameters. Get a custom LLM summary of your audio files with LeMUR This video tutorial demonstrates how to use LeMUR, AssemblyAI’s framework to process audio files with a Large Language Model (LLM).

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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. Want to dive deeper?

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IBM Journey to AI blog

JULY 17, 2023

Currently chat bots are relying on rule-based systems or traditional machine learning algorithms (or models) to automate tasks and provide predefined responses to customer inquiries. The LLM solution has resulted in an 80% reduction in manual effort and in 90% accuracy of automated tasks.

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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. We compare the existing solutions and explain how they work behind the scenes.

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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. It also requires some focused effort to improve the data quality of data needed for tuning the models.

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Mlearning.ai

JULY 9, 2023

One of the biggest challenges of using LLMs is the cost of accessing them. Many LLMs, such as OpenAI’s GPT-3, are only available through paid APIs. Learn how to deploy any open-source LLM as a free API endpoint using HuggingFace and Gradio. Many LLMs, such as OpenAI’s GPT-3, are only available through paid APIs.

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LevelAI

MARCH 28, 2024

It’s the industry’s first generative AI large language model (LLM) that evaluates every conversation across every customer channel — your ticket out of the Stone Age and into the future. are impossible for an intent-based model to score. Some questions — Did the agent reduce effort for the customer? —

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Snorkel AI

JUNE 7, 2023

They focussed largely on the challenges and opportunities in leveraging large language models and foundation models , as well as data-centric AI development approaches. Across thirteen sessions, the speakers commented on the current and future state of artificial intelligence and machine learning.

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Snorkel AI

JUNE 7, 2023

They focussed largely on the challenges and opportunities in leveraging large language models and foundation models , as well as data-centric AI development approaches. Across thirteen sessions, the speakers on the current and future state of artificial intelligence and machine learning.

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AWS Machine Learning Blog

AUGUST 14, 2023

With the advent of large language models (LLMs), we can implement conversational experiences in providing the results to users. However, we need to ensure that the LLMs limit the responses to company data, thereby mitigating model hallucinations.

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Towards AI

APRIL 7, 2024

Source : Image generated by author using Yarnit It is quite astonishing how Large Language Models or LLMs (GPT, Claude, Gemini etc.) It’s a powerful technology that can tackle a variety of natural language tasks. In their paper, “Chain-of-Thought Prompting Elicits Reasoning in Large Language Models”, Wei et.

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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.

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The MLOps Blog

JANUARY 19, 2024

Imagine you’re facing the following challenge: you want to develop a Large Language Model (LLM) that can proficiently respond to inquiries in Portuguese. You have a valuable dataset and can choose from various base models. These models are usually based on an architecture called transformers.

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Unite.AI

SEPTEMBER 11, 2023

With Large Language Models (LLMs) like ChatGPT, OpenAI has witnessed a surge in enterprise and user adoption, currently raking in around $80 million in monthly revenue. Last time we delved into AutoGPT and GPT-Engineering , the early mainstream open-source LLM-based AI agents designed to automate complex tasks.

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Mlearning.ai

AUGUST 19, 2023

Write a response that appropriately completes the request.

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AWS Machine Learning Blog

NOVEMBER 15, 2023

Llama 2 stands at the forefront of AI innovation, embodying an advanced auto-regressive language model developed on a sophisticated transformer foundation. Its model parameters scale from an impressive 7 billion to a remarkable 70 billion. Its model parameters scale from an impressive 7 billion to a remarkable 70 billion.

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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.

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AWS Machine Learning Blog

APRIL 8, 2024

This version offers support for new models (including Mixture of Experts), performance and usability improvements across inference backends, as well as new generation details for increased control and prediction explainability (such as reason for generation completion and token level log probabilities).

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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.

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Marktechpost

NOVEMBER 7, 2023

It will be necessary to expand the capabilities of current code completion tools—which are presently utilized by millions of programmers—to address the issue of library learning to solve this multi-objective optimization. Al) Using a dual-system search methodology, LILO creates programs from task descriptions written in plain language.

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AWS Machine Learning Blog

MAY 2, 2024

As more powerful large language models (LLMs) are used to perform a variety of tasks with greater accuracy, the number of applications and services that are being built with generative artificial intelligence (AI) is also growing. It provides a method to improve LLM output quality based on diverse subjective viewpoints.

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AWS Machine Learning Blog

MARCH 28, 2024

This technique provides targeted yet broad-ranging search capabilities, furnishing the LLM with a wider perspective. It tackles the issue of information overload and irrelevant data processing head-on, leading to improved response quality, more cost-effective LLM operations, and a smoother overall retrieval process.

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NVIDIA

MARCH 6, 2024

AI development is always oriented around developing systems that perform tasks that would otherwise require human intelligence, and often significant levels of input, to complete — only at speeds beyond any individual’s or group’s capabilities. Magic Mask has completely changed that workflow. It’s up to 4.5x faster on RTX vs. Mac.

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