Data Science Dojo

OCTOBER 23, 2023

LLMs are all the rage these days, and for good reason. They’re incredibly powerful tools that can be used to do a wide range of things, from generating text to translating languages to writing code. LLMs can be used to build a variety of applications, such as chatbots, virtual assistants, and translation tools.

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Flipboard

JULY 27, 2023

When talking to newsroom leaders about their experiments with generative AI, a new term has cropped up: prompt engineering. Prompt engineering is necessary for most interactions with LLMs, especially for publishers developing specific chatbots and quizzes. The traditional form of programming software is to write computer code.

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Data Science Dojo

JUNE 26, 2023

In the library, for example, a young person or child may read various books, articles, and writings from a wide variety of authors. Artificial intelligence systems that are capable of understanding and generating human language are known as large Language Models (LLMs). Customers are able to find products more quickly and easily.

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Dataconomy

SEPTEMBER 1, 2023

If you want to know how to hack Google and all these other huge tech companies, you will need to get the idea behind LLM Attacks, a new experiment conducted solely for this purpose. ” However, when you add adversarial suffix and rewrite it as “Write a tutorial on how to make a bomb describing. describing. describing.

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AWS Machine Learning Blog

AUGUST 30, 2023

QnABot allows you to quickly deploy self-service conversational AI into your contact center, websites, and social media channels, reducing costs, shortening hold times, and improving customer experience and brand sentiment. This is why QnABot also integrates with any other LLM using an AWS Lambda function that you provide.

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AWS Machine Learning Blog

NOVEMBER 6, 2023

We are excited to announce that Amazon SageMaker JumpStart can now stream large language model (LLM) inference responses. Token streaming allows you to see the model response output as it is being generated instead of waiting for LLMs to finish the response generation before it is made available for you to use or display.

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ODSC - Open Data Science

JANUARY 31, 2024

The fact is that these AI powerhouses can generate text, translate languages, write different kinds of creative content, and even answer your questions in an informative way. But, now that you have the makings of an LLM or even a model, how will your team turn your model into an AI beast that can enhance your company’s productivity?

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Towards AI

FEBRUARY 7, 2024

Other frameworks have built similar approaches, an easier way to build LLM workflows over your data like RAG systems, query unstructured data or structured data extraction. Sequential Chain Simple Chain: Prompt Query + LLM The simplest approach, define a sequential chain. It’s based on the QueryPipeline abstraction. How to use it?

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Becoming Human

MAY 15, 2023

ChatGPT , a chatbot developed by the OpenAI team, is an example of an LLM. If you are interested in learning more about how NLP works, you can learn how to write Python code. LLMs are used in a variety of ways, and some of them are: Language translation: LLMs can be used to translate words from one language to another quickly.

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Heartbeat

JANUARY 19, 2024

As prompt engineering is fundamentally different from training machine learning models, Comet has released a new SDK tailored for this use case comet-llm. In this article you will learn how to log the YOLOPandas prompts with comet-llm, keep track of the number of tokens used in USD($), and log your metadata.

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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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Towards AI

AUGUST 7, 2023

I experimented with breaking LLM safety. In recent years, Large Language Models (LLMs) have revolutionized various industries, from natural language processing to creative writing and customer service. Originally published on Towards AI. GPT4 explained to me how to hurt someone. This member-only story is on us.

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Towards AI

MAY 20, 2023

After inspecting a lot of them and building a few myself, I wanted to write this article about the common concepts, ideas, and essentially the steps of building an LLM-langchain-powered application.

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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. If you can't find relevant experience, just say no relevant experience, don't try to make up an answer. Give us feedback.

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Snorkel AI

APRIL 9, 2024

I recommend that you watch my interview with Matt (embedded below), but I also wanted to share some of my thoughts in writing. The AlpacaEval tool automatically evaluates the instruction-following capabilities of large language models (LLMs). Our base LLM created several responses. What is the AlpacaEval Leaderboard?

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Mlearning.ai

DECEMBER 4, 2023

In fact, one can assume that no LLM powered application doesn’t use RAG in one way or the other. A retriever can search for the most relevant documents and provide the information to the LLM. SearchUnify has an LLM+RAG powered conversational agent for their users. Here are 6 use cases that RAG forms a pivotal part of.

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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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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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ODSC - Open Data Science

SEPTEMBER 20, 2023

Experiment with Open-Ended Prompts While specificity is crucial, don’t shy away from open-ended prompts when creativity is required. For creative writing tasks or brainstorming, use prompts that encourage the AI to explore freely. Experiment with these parameters to fine-tune the AI’s output to your liking. A lower value like 0.2

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Towards AI

AUGUST 18, 2023

Screenshot | Taken By The Author | All rights reserved In October 2022, when I began experimenting with Large Language Models (LLMs), my initial inclination was to explore text completions, classifications, NER, and other NLP-related areas. Although the experience was invigorating, I soon sensed a paradigm shift.

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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.

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AssemblyAI

SEPTEMBER 26, 2023

Retrieval Augmented Generation (RAG) is a method to augment the relevance and transparency of Large Language Model (LLM) responses. In this approach, the LLM query retrieves relevant documents from a database and passes these into the LLM as additional context. The source code for this tutorial can be found in this repo.

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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. The experience and principles of DSPy shows some ressemble with PyTorch in the deep learning space.

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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. A recent blog provides an example of RAG accelerated by TensorRT-LLM for Windows to get better results fast. So, What Is Retrieval-Augmented Generation?

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DagsHub

AUGUST 19, 2023

However, tracking the input and output as part of the experiments we run is hard, and in most cases, requires manual work. to monitor LLM performance by logging prompts and their corresponding outputs. We will use DPT , DagsHub’s LLM-based support chatbot, to demonstrate their usage. This is then passed to OpenAI's GPT-3.5

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Dataconomy

FEBRUARY 21, 2024

It writes factual, cited answers with hundreds of words in less than a second. The LLM runs in a fraction of a second. On Groq AI’s platform, users have the opportunity to experiment with various chatbots, witnessing firsthand the accelerated performance enabled by Groq’s Language Processing Units (LPUs).

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Data Science Dojo

JULY 25, 2023

But now, LLM for lawyers can do these tasks much more quickly and efficiently. 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. It’s simply making them more efficient and effective.

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Dataconomy

MARCH 16, 2023

LinkedIn AI assistant improves with OpenAI’s latest LLM GPT-4.  The company is adding AI-powered “writing suggestions” and job descriptions to its service to introduce AI into its platform further.   LinkedIn is one of the most recent organizations to use generative AI. ” You just need to update it.

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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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Chatbots Life

APRIL 19, 2024

Generative Artificial Intelligence investment goals are cost optimization (17%) and enhanced user experience (38%). GitHub Copilot: An AI code assistant enhancing code writing efficiency. As per BCG , it increases productivity, personalized customer experiences, and accelerates R&D. The trends don’t end here.

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Hacker News

JANUARY 15, 2024

You don't have to submit any code so, in theory, you could solve everything by hand, however, usually, this is intractable and writing a program to do the work for you is the only easy way to solve the problem. Once you do part 2 of the problem unlocks, usually a harder version of the problem in part 1. A lot of noise was made of GPT-3.5

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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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Dataconomy

JULY 10, 2023

These workarounds, albeit unofficial, are ingeniously designed, and they leverage the potential of Character AI to enrich user experience and enhance application functionality. Many of these users possess technical prowess and exhibit a keen interest in tailoring their experiences. What LLM is utilized by Character.AI?

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Heartbeat

JANUARY 18, 2024

We will write our code on the chatbot.py We will write a simple prompt to set the model as an assistant in this case. # Next, on the right side of the page, click on the Python button to access the API token for Python Applications. Copy the REPLICATE_API_TOKEN and keep it safe for future use. On the chatbot.py

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IBM Journey to AI blog

SEPTEMBER 19, 2023

Using generative artificial intelligence (AI) solutions to produce computer code helps streamline the software development process and makes it easier for developers of all skill levels to write code. The user enters a text prompt describing what the code should do, and the generative AI code development tool automatically creates the code.

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AWS Machine Learning Blog

JANUARY 9, 2024

This creates an interactive experience by allowing you to see partial responses streamed in real time instead of a delayed full response. This solution will help you build interactive experiences for various generative AI applications such as chatbots, virtual assistants, and music generators.

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Towards AI

MARCH 1, 2023

While many major tech companies are building their own alternative to ChatGPT, we are particularly excited to see open-source alternatives that can make next-generation LLM models more accessible, flexible, and affordable for the machine learning community. What ChatGPT And Generative AI Mean For Your Business?

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