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Generative AI creates new data, images, or text by learning patterns from existing examples, enabling machines to produce original and creative content. . Read More - https://lnkd.in/gTc8JhpA . . #chatgptprompts #openai #ChatGPT #AI #Python #language #technology #Software #coding #Training #education #ArtificialIntelligence #datascience

The idea of using NLP techniques for structuring unstructured data is not new, and the recent progress in LLMs (Large Language Models) has sparked countless opportunities for doing just that. Continue Here ➡️https://lnkd.in/gKWkTk89 #GraphDB #DataStrategy #LLM #AI #MachineLearning #CDO

The idea of using NLP techniques for structuring unstructured data is not new, and the recent progress in LLMs (Large Language Models) has sparked countless opportunities for doing just that. Continue Here ➡️https://lnkd.in/dH_VWejH #GraphDB #DataStrategy #LLM #AI #MachineLearning #CDO

A very intriguing approach to fine-tuning prompts for large language models - use the models themselves to create and tune the inputs. https://lnkd.in/eyPj7P8V Two things come straight to mind: first, "Why didn't I think of that before?" In hindsight, it seems like an obvious thing to try. Second, "This is getting increasingly Skynet". Models training models to better-interrogate models... It's also one of best examples of a comprehensive, well-written project README that I've seen in a long time, so even if the subject's not that relevant, there's things to learn from the way it's been done.

With #largelanguagemodels evaluation becomes more uncertain and tricky. However, there are recently developped exciting frameworks and methods that help doing it. Gathered by Chris Samiullah #llms #machinelearning #python #nlp #naturallanguageprocessing

Generative AI creates new data, images, or text by learning patterns from existing examples, enabling machines to produce original and creative content. Read More - https://lnkd.in/gTc8JhpA . #generativeai #metaverse #ChatGPT #AI #Python #language #technology #Software #coding #Training #education #ArtificialIntelligence

https://lnkd.in/gf3Mfjry Reinforcement learning is a more accurate and cost-effective solution for more precise and error-prone tasks such as unit-testing. #ai #java #llm #reinforcementlearning #unittesting

I have been developing an AI model that allows users to easily add integrations to their Travis CI configuration file (.travis.yml) through a graphical user interface that I built! So let's say I wanted Datadog in my build by simply asking for it in plain English through the UI. My model will then automatically updates the .travis.yml file accordingly behind the scenes. This seamless natural language interface, powered by the machine learning model I have trained and persisted with Pickle, aims to greatly simplify the process of activating Datadog and other services in Travis CI for those who are unfamiliar with YAML syntax, also important to note I've added syntax highlighting to the GUI. With this innovation, integrating third party tools like Datadog into your continuous integration workflows will become much more accessible. The release date is not firm yet, but rest assured I'm making the tool better and better daily. #travisci #ai #nlp #datadog #naturallanguage #travisconfig #continuousintegration #continuousdelivery #devops #travis #syntaxhighlighting #python #deeplearning

If you follow generative AI news, you have surely seen the term LLM (Large Language Model) more times than you can count. But what about Small Language Models? Microsoft has been working on SLMs much less than half the size of the leading open source SLMs. In fact, their newest SLM, Phi-2, is even more petite than Google’s just-announced Gemini Nano 2. Given the arms now race now underway to make LLMs as Extra Large as possible to increase their capabilities, why bother with models on the opposite end of the spectrum? As it turns out, because for certain purposes, SLMs perform brilliantly. In fact, Phi-2 matches or surpasses the scores of more hefty SLMs for Python coding, math, language understanding, and commonsense reasoning. Microsoft claims that they achieved these results by using “textbook quality” training data, which might limit how widely these SLMs can be applied. Also, we have to take the test scores with a grain of salt: the results from the different SLMs were not drastically different, and further testing might not show consistently good output from Phi-2. That said, for specific uses like a coding assistant AI tool, a compact yet sufficiently powerful SLM would not require nearly as much computational might, and that would bring down operating costs considerably. Small is beautiful. #microsoft #slm #phi #coding #gemini #llm #largelanguagemodel #nano

🚀 Unlock the Power of Large Language Models! 🤖 💡 Dive into the complexities of implementing Generative AI with our latest article exploring user adoption, technical complexities, data challenges, security, and compliance concerns in leveraging Large Language Models (LLMs) 👇 https://hubs.li/Q02b9yrW0 From ensuring user trust to navigating evolving model parameters, we cover it all. Ready to revolutionize your AI approach? Check out our insights and solutions! https://hubs.li/Q02b9njD0 #PythonPredictions #Tobania #SopraSteria #PyTobians #DataDriven #GenerativeAI #LLM #AIChallenges #TechInnovation