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

Large language models (LLMs) are a type of artificial intelligence (AI) that are trained on a massive dataset of text and code. They can generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way. LLMs are becoming increasingly powerful and sophisticated.

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Data Science Dojo

AUGUST 1, 2023

Large language models (LLMs) are a type of artificial intelligence (AI) that are trained on a massive dataset of text and code. They can generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way. LLMs are becoming increasingly powerful and sophisticated.

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Data Science Dojo

JUNE 5, 2023

The latest technology, in particular, generative AI and LLM (Large Language Models), is a ticket to innovation. Some common business problems faced by nonprofits and NGOs include: 1. How can generative AI and LLMs help non-profits run more effectively? The answer is yes!

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IBM Journey to AI blog

APRIL 24, 2024

What are prompt injection attacks, and why are they a problem? Prompt injections are a type of attack where hackers disguise malicious content as benign user input and feed it to an LLM application. The hacker’s prompt is written to override the LLM’s system instructions, turning the app into the attacker’s tool.

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ODSC - Open Data Science

OCTOBER 2, 2023

In the past year, there has been a surge of interest in large language models and LLM agents. As large language models continue their assent into multiple fields, they will begin to branch off and become more domain-specific to tackle complex problems that general LLMs aren’t well suited for. This makes LLama2.c

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Towards AI

FEBRUARY 15, 2024

In fact even their ChatGPT competitor assistant app Bard has been now renamed to Gemini just last week as of writing this article (Feb 8, 2024). Gemini Essentials Google’s Gemini is a suite of AI models designed to handle a wide array of tasks, including content generation and problem-solving with both text and image inputs.

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O'Reilly Media

MARCH 26, 2024

In Borges’ fable Pierre Menard, Author of The Quixote , the eponymous Monsieur Menard plans to sit down and write a portion of Cervantes’ Don Quixote. Not to transcribe, but re-write the epic novel word for word: His goal was never the mechanical transcription of the original; he had no intention of copying it. They are dream machines.

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phData

JANUARY 8, 2024

Quick Overview of Large Language Models (LLMs) A large language model (LLM) is a cutting-edge AI trained on massive amounts of text data. These versatile models are rapidly changing the game in fields like writing, research, and communication (even pushing the boundaries of natural language processing). What Is A Prompt?

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Hacker News

JANUARY 15, 2024

Each day at midnight a problem unlocks, consisting of an input file and a description of the required solution (either a number or a sequence of letters and numbers) to be determined by processing the input file. To solve the problem you have to submit to the website the correct solution. A lot of noise was made of GPT-3.5

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Dataconomy

JANUARY 30, 2024

This powerhouse can write code in various languages (Python, C++, Java, PHP) from natural language prompts or existing code snippets, doing so with unprecedented speed, accuracy, and quality. Code Llama 70B builds upon Llama 2, a 175-billion-parameter LLM capable of generating text across various domains and styles. StarCoder: 40.1)

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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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Data Science Dojo

NOVEMBER 30, 2023

GPT stands for Generative Pretrained Transformer, which is a large language model (LLM) chatbot developed by OpenAI. It is a powerful tool that can be used for a variety of tasks, including generating text, translating languages, and writing different kinds of creative content. ChatGPT is used by 92% of the Fortune 500 companies.

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AWS Machine Learning Blog

AUGUST 30, 2023

Our latest QnABot releases, v5.4.0+, can now use an LLM to disambiguate customer questions by taking conversational context into account, dynamically generating answers from relevant FAQs or Amazon Kendra search results and document passages. This is why QnABot also integrates with any other LLM using an AWS Lambda function that you provide.

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Data Science Dojo

JULY 25, 2023

But now, LLM for lawyers can do these tasks much more quickly and efficiently. Lawyers will always need to be able to think critically, solve problems, and communicate effectively. As AI and LLMs continue to develop, they are likely to become even more powerful tools for enriching precedents and for helping lawyers to win their cases.

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Towards AI

DECEMBER 10, 2023

In addition, LLMs in zero-shot fashion are known to be misaligned (language models may understand the task differently) and produce hallucinations. To counter this, we have created Tanuki, a simple way to create aligned LLM-powered applications and ensure structured and typed outputs. Instead, we’ll use Tanuki to do this in 20 minutes.

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Flipboard

JUNE 13, 2023

GitHub Copilot, Amazon CodeWhisperer, ChatGPT, Tabnine, and various other AI coding tools are quickly gaining traction, helping developers automate mundane tasks and freeing them up to work on more challenging problems. We’re also using some generative processes to write code snippets, specifically for well-known API calls.

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Heartbeat

JANUARY 26, 2024

I write about Machine Learning on Medium || Github || Kaggle || Linkedin. ? LangChain (Image Credit: ALEX XU on blog.bytebytego.com ) Memory Strategies in Lang Chain Given a context that when a customer inquires about the customer service of a fashion store and expresses a problem with the jeans. Follow “Nhi Yen” for future updates! ?

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Flipboard

FEBRUARY 13, 2023

The company lets customers fine-tune these models on their own content and style guides, from which point forward the AI can write, help write or edit copy so that it meets internal standards. Enterprise leaders want to invest in solutions that will essentially give them their own LLM.”

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ODSC - Open Data Science

SEPTEMBER 20, 2023

Crafting the right prompt can unlock a world of creativity, productivity, and problem-solving. For creative writing tasks or brainstorming, use prompts that encourage the AI to explore freely. For instance, “Write a short story about an unlikely friendship between a human and an AI in a futuristic city.”

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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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Mlearning.ai

JANUARY 3, 2024

Developing highly impressive Large Language Model (LLM) applications is achievable through brief training and verification on a limited set of examples. Corresponding Response or Answer from LLM 4. To compute the score, the LLM is then prompted to generate questions for the generated response several times.

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Snorkel AI

AUGUST 17, 2023

They can write poems, recite common knowledge, and extract information from submitted text. In short, closed question-answering works best for high-cardinality or high-volume problems. In short, in-context learning works best for low-cardinality or low-volume problems. Sends the prompt to the LLM. Interprets the response.

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Snorkel AI

AUGUST 17, 2023

They can write poems, recite common knowledge, and extract information from submitted text. In short, closed question-answering works best for high-cardinality or high-volume problems. In short, in-context learning works best for low-cardinality or low-volume problems. Sends the prompt to the LLM. Interprets the response.

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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

AUGUST 16, 2023

In this article, we ask one of those questions: “Can ChatGPT write a finite difference code?” This class was in the middle of March: around the same time as when ChatGPT, a recently released Large Language Model (LLM) was exponentially gaining momentum. to “What would the periodic table look like if it was circular?”

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Google Research AI blog

FEBRUARY 14, 2023

As we do this, we’re transforming robot learning into a scalable data problem so that we can scale learning of generalized low-level skills, like manipulation. Having both an LLM and an affordance model doesn’t mean that the robot will actually be able to complete the task successfully.

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Heartbeat

JANUARY 5, 2024

Introduction to LangChain for Including AI from Large Language Models (LLMs) Inside Data Applications and Data Pipelines This article will provide an overview of LangChain, the problems it addresses, its use cases, and some of its limitations. We have seen exploding interest in LLMs and in a broader discipline, Generative AI.

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ODSC - Open Data Science

JULY 17, 2023

Modern large language models (LLMs) have impressive capabilities, but they can be challenging to integrate into complex workflows and systems, leading to unreliable results and unnecessary code duplication. Outlines , created by Rémi Louf at Normal Computing , offers a solution to these problems.

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Heartbeat

JANUARY 9, 2024

We must create new tools and best practices to manage the LLM application lifecycle to address these issues. Adaptation to Downstream Tasks In LLMOps, "Adaptation to Downstream Tasks" refers to optimizing a large language model (LLM) that has already been trained using task-specific datasets.

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Chatbots Life

MAY 5, 2023

“In my opinion, AutoGPT / babyAGI / AgentGPT is the real disruption point for the use of AI for complex problem-solving. Autonomous AI agents can potentially apply their reasoning to broader, more complex problems that require long-term planning and multiple steps. That’s what Lars said , and rightfully so!

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Mlearning.ai

DECEMBER 28, 2023

Artificial Consciousness or the idea of a Sentient AI is something that has gained some prominence in the tech discourse- more so with the advent of generative ai, LLM wars and rumours of OpenAI achieving Artificial General Intelligence (AGI). The play, “The Hard Problem” debates egoism and altruism. Computers Compute. Brains Think.

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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. LLMs’ flexibility dazzles, but most AI problems don’t require flexibility.

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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. LLMs’ flexibility dazzles, but most AI problems don’t require flexibility.

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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. DSPy attempts to tackle these problems with a programming-centric approach. 2) Elaboration on one or more input fields (e.g.,

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Towards AI

NOVEMBER 5, 2023

__name__}: {str(e)}"} return rvdef score_unstructured(model, data, query, **kwargs): import boto3, json, os, sys, io """Custom model hook for screening a resume with llm. Give us feedback. client('bedrock-runtime','us-east-1',endpoint_url='[link] Exception as e: print({"error": f"{e.__class__.__name__}:

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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.

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