Data Science Dojo

AUGUST 22, 2023

Unlocking the Power of LLM Use-Cases: AI applications now excel at summarizing articles, weaving narratives, and sparking conversations, all thanks to advanced large language models. LLM Use-Cases Applications of large language models Language serves as a conduit for various forms of communication.

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Data Science Dojo

AUGUST 1, 2023

The next generation of Language Model Systems (LLMs) and LLM chatbots are expected to offer improved accuracy, expanded language support, enhanced computational efficiency, and seamless integration with emerging technologies. To overcome these challenges, Large Language Models (LLMs) come to the rescue.

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Becoming Human

MAY 15, 2023

LLMs are designed to process vast amounts of text data and use advanced neural network architectures to learn the patterns and relationships between words, phrases, and concepts in natural language. As a result, LLMs have become a key tool for a wide range of NLP applications. LLM does translation in two ways.

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Data Science Dojo

JUNE 26, 2023

The machine is capable of understanding and generating human-like text based on the patterns and knowledge accumulated during the training process. In the library, for example, a young person or child may read various books, articles, and writings from a wide variety of authors.

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NYU Center for Data Science

AUGUST 21, 2023

Trained on an incredibly vast amount of language gleaned from various internet sources, the chatbot has produced a steady stream of conversations, essays, and even books, that are often indistinguishable from human writing. The study raises significant questions about how AI models should be tested for intelligence in the future.

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Hacker News

JUNE 7, 2023

This is part of an ongoing series about our LLM technology: ChatGPT Gets Its “Wolfram Superpowers”! LLMs in a sense always have lots of “latent capability” (e.g. You will also need an API key for the OpenAI LLM or another LLM. One can use them, for example, to tell an LLM to “adopt a particular persona”.

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Heartbeat

FEBRUARY 29, 2024

Over the years, we’ve witnessed significant milestones in programming languages, each bringing about transformative changes in how we write code and build software systems. We’ll explore how LLMs reshape how we write code, their potential for increasing developer productivity, and what lies beyond LLMs in the ever-evolving programming world.

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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. ” Laura Butler.

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Hacker News

NOVEMBER 15, 2023

We always planned to have a nicer sounding name, but when it came time to write the paper, no one had a better idea,” said Lewis, who now leads a RAG team at AI startup Cohere. In other words, it fills a gap in how LLMs work. Under the hood, LLMs are neural networks, typically measured by how many parameters they contain.

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Towards AI

MAY 23, 2023

This is where Large Language Model (LLM) can help. From contextual response generation to sentiment detection, LLMs can offer significant benefits in handling customer interactions. I will walk through few examples and benefits of using LLM for customer service operation. LLMs excel at a variety of language-related tasks.

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Towards AI

JULY 21, 2023

LLMs (AI model that powers chatbots like Bard and CHatGPT) can be thought of as running in System 1. LLMs (the AI models that run these chatbots) work by finding patterns in the billions of training data that it was trained on before, and it generates a response that matches the common pattern. Finding a trend or pattern.

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O'Reilly Media

DECEMBER 12, 2023

If a human writes software to generate prompts that in turn generate an image, is that copyrightable? Training an LLM means teaching it how to understand and reproduce human language. This fallacy was probably encouraged by another New Yorker article arguing that an LLM is like a compressed version of the web. Is it possible?

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Chatbots Life

APRIL 19, 2024

Generative AI Overview According to McKinsey , Generative AI is “a type of AI that can create new data (text, code, images, video) using patterns it has learned by training on extensive (public) data with machine learning (ML) techniques.” It analyzes existing data to discover patterns and generate new content.

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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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Towards AI

MAY 2, 2023

Here is an example plot we will create by just asking in plain English to create 3 clusters (using kmeans) using income and spending variables, and present the breakdown of spending for each cluster without writing any code. Are there any differences in spending patterns between male and female customers?

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Towards AI

SEPTEMBER 4, 2023

Frameworks such as LangChain or LlamaIndex have certainly achieved relevant levels of adoption within the LLM community and Microsoft’s Semantic Kernel is boosting an impressive set of capabilities. A Signature encapsulates a declarative representation of an input/output behavioral pattern associated with a DSPy module.

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AWS Machine Learning Blog

APRIL 13, 2023

CodeWhisperer is powered by a Large Language Model (LLM) that is trained on billions of lines of code, and as a result, has learned how to write code in 15 programming languages. You can simply write a comment that outlines a specific task in plain English, such as “upload a file to S3.”

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Towards AI

APRIL 4, 2024

Generative AI, and LLMs specifically, is a General Purpose Technology that is useful for a variety of applications LLMs can be, generally, thought of as a next word prediction model What is an LLM? Instead of formalized code syntax, you provide natural language prompts to the models. This process is known as inference.

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Heartbeat

NOVEMBER 15, 2023

It uses an LLM to extract information on entities and builds up its knowledge about those entities over time. Abi is writing a book about LLMs in production. Abi is writing a book about LLMs in production.Andy has written a book about MLOps.Abi lives in IndiaAndy lives in Scotland You: > Finished chain.

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Mlearning.ai

JANUARY 15, 2024

Follow us in this exploration to discover how LLMs can become a major asset for the generation of synthetic tabular data. Outline What is an LLM and how does it work? Modeling tabular data distributions with GReaT Generate datasets without training data What is an LLM and how does it work?

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Heartbeat

NOVEMBER 3, 2023

You would use the ListOutputParser when you want the LLM to return a simple list of items in its response. Any time you want the LLM to return a list of items, the ListOutputParser is useful. It is used when you want to parse an LLM’s response into a structured format like a dict, or JSON. When would I use it?

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Pickl AI

AUGUST 2, 2023

The model then fine-tunes specific datasets to optimize its performance for various applications, such as customer support, creative writing, or educational purposes. The objective is to build a language model that captures the statistical patterns and relationships in the text data. How ChatGPT Works?

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ODSC - Open Data Science

JANUARY 23, 2024

One of the biggest topics we touched on was the concept of retrieval augmented generation, better known as RAG , for LLMs. In this post, I take a closer look at how RAG has emerged as the ideal starting point when it comes to designing enterprise LLM-powered applications. You can imagine it as a pyramid, where… Train from scratch.

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phData

APRIL 5, 2024

Technical Overview Document AI is utilizing a few key techniques: Natural Language Processing (NLP) using a first-party Large Language Model (LLM) and Optical Character Recognition (OCR). OCR is used to convert the document containing printed or handwritten text into a file suitable for consumption by the LLM.

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Towards AI

OCTOBER 11, 2023

To remind you why it’s important, a vanilla LLM requires exponentially more memory and processing time as the context length gets longer to generate the next token. Imagine GPT writing the end of a book. Colors indicate data type and patterns indicate the data shape. What we’re seeing below is the beginning of a loop.

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Data Science Dojo

MAY 3, 2024

This equates to asking someone to write an 800-word blog on AI agents in one go, without any edits. They let the LLM go over the task multiple times, fine-tuning the results each time. This process uses extra tools and smarter decision-making to really leverage what LLMs can do, especially for specific, targeted projects.

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IBM Journey to AI blog

NOVEMBER 24, 2023

Further, for re-write initiatives, one needs to map functional capabilities to legacy application context so as to perform effective domain-driven design/decomposition exercises. Likewise, there are several other Generative AI use cases that include generating of target technology framework-specific code patterns for security controls.

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ODSC - Open Data Science

JANUARY 29, 2024

Using skills such as statistical analysis and data visualization techniques, prompt engineers can assess the effectiveness of different prompts and understand patterns in the responses. This skill focuses on minimizing the resources and time required for an LLM to generate output based on your prompts.

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Dataconomy

OCTOBER 5, 2023

Therefore, it must independently recognize patterns and relationships within the data. ChatGPT, which is widely used and is generally considered to be the most powerful large language model (LLM), is very misleading and inadequate for medical research and accurate diagnosis. So what do all these practices mean to us?

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IBM Journey to AI blog

APRIL 18, 2024

While these large language model (LLM) technologies might seem like it sometimes, it’s important to understand that they are not the thinking machines promised by science fiction. LLMs like ChatGPT are trained on massive amounts of text data, allowing them to recognize patterns and statistical relationships within language.

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AWS Machine Learning Blog

DECEMBER 5, 2023

Large language model (LLM) training has become increasingly popular over the last year with the release of several publicly available models such as Llama2, Falcon, and StarCoder. Customers are now training LLMs of unprecedented size ranging from 1 billion to over 175 billion parameters.

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Towards AI

JULY 22, 2023

While scraping enabled models to get where they are, cleanly sourced data is going to become more and important As I wrapped up the research for this piece and was about to start writing, OpenAI had a perfect announcement to go with it — they are temporarily disabling the “Browse with Bing” feature on ChatGPT.

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Dataconomy

MAY 11, 2023

  This AI-text generation model has been pre-trained on massive text data allowing it to generate responses on various topics and in various writing styles.   Data visualizations, like graphs and charts, can make your audience understand patterns and trends in product or service offers in minutes.

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Cambridge Intelligence

FEBRUARY 6, 2024

Machine learning, pattern matching and natural language prompts are great at rapid data processing and analysis – and data visualization is the key to a human understanding of AI-driven insights. But there are always patterns of “known fraud” that AI excels at spotting.

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ML @ CMU

JUNE 5, 2023

ReLM enables writing tests that are guaranteed to come from the set of valid strings, such as dates. Without ReLM, LLMs are free to complete prompts with non-date answers, which are difficult to assess. I claim that using large language models (LLMs) to generate text content is similar to playing a game with such secret sequences.

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Mlearning.ai

JUNE 23, 2023

These powerful models possess an inherent ability to grasp context, generate coherent responses, and adapt to diverse linguistic patterns. LLMs are unique in their ability to generate high-quality text that is often indistinguishable from that of a human. LLMs — 101 What is LLM? Here are some common applications: 1.

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