Tamr sets New Data Standards for Generative AI in Google Marketplace Know more:-https://lnkd.in/gR56JcMQ #generativeai #aitechparknews #aitechnology #artificialintelligence #technology #innovation #aitech #machinelearning #python #deeplearning
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Kedro is featured in a new blog post by QuantumBlack, AI by McKinsey that highlights how it can be used to accelerate the path to production for AI. > Organizations face significant challenges when scaling their AI efforts beyond experiments and proof-of-concept models. This article examines how Kedro, an open-source Python framework created by the QuantumBlack Labs team to create reproducible, maintainable, and modular code, can help. Kedro has almost ~17M downloads and 10K stars on GitHub to date. It is used in many different fields. Developers from over 250 different companies have worked with Kedro as super-users in the last year. Continue reading on Medium: https://lnkd.in/eddzh59e
Accelerating the path to production for AI
medium.com
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Nous Infosystems achieves Microsoft AI and ML Advanced Specialization Know more:-https://lnkd.in/dkyNkp3R #aitechparknews #aitechnology #artificialintelligence #technology #innovation #aitech #machinelearning #python #deeplearning
Nous achieves Microsoft AI and ML Advanced Specialization
https://ai-techpark.com
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Generative AI & Chatbots | Full Stack Web App Developer | Python | Typescript | Next.js | FASTAPI | Automation & Web Scraping | WordPress
Let’s break down the code line by line 1-Importing the google.generativeai module: The first line import google.generativeai as genai imports the google.generativeai module and assigns it an alias genai. This module provides access to Google’s state-of-the-art generative AI models. 2-Configuring the API key: The second line genai.configure(api_key="Your Api Key") sets up the API key for accessing the generative AI models. Replace "Your Api Key" with your actual API key obtained from AI Studio. 3-Creating a generative model instance: The third line model = genai.GenerativeModel(model_name="gemini-pro") creates an instance of the generative model named “gemini-pro”. This model is part of the Google AI Python SDK and is designed for generating text. 4-Defining a prompt: The fourth line prompt_parts = ["who is quaid-e-azam?"] defines a list containing a single prompt: “who is quaid-e-azam?” This prompt will be used to generate a response. 5-Generating content: The fifth line response = model.generate_content(prompt_parts) sends the prompt to the generative model and retrieves the generated content. In this case, it will provide information related to Quaid-e-Azam (Muhammad Ali Jinnah). 6-Printing the response: The sixth line print(response.text) displays the generated content (response) in the console. Checkout Full Repo: https://lnkd.in/ePakGK3Y Follow me on LinkedIn: https://lnkd.in/d8mfnDcd #generatieveai #gemini
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LAgent: a lightweight, open-source AI framework using large language models to create versatile agents. Perfect for developers and data scientists, LAgent offers: - Python executor for seamless script integration - Advanced search operations - Action executor for complex tasks like data analysis and predictive modeling LAgent provides a robust, flexible, and scalable platform for sophisticated AI applications. #AI #OpenSource #MachineLearning #DataScience
How to build powerful AI Agents from LLMs with LAgent
geeky-gadgets.com
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Data Scientist at American Express | Generative AI | Google MLB’22 | Machine Learning Engineer Lead at Omdena | AI & ML | Deep Learning | Python | PostgreSQL | NLP | AWS
Unlock the secrets hidden in your Text Data with my latest blog on Drift Monitoring using Evidently!🚀 From tracking subtle shifts in data to uncovering patterns in word embeddings, this article explores how Evidently empowers data practitioners to navigate the ever-changing landscape of textual data. Discover practical insights and actionable tips for maintaining model reliability in the face of evolving data dynamics.📊📈 Blog Post: https://lnkd.in/gXBfQvyb #DataScience #TextAnalytics #DataDrift #EmbeddingsDrift #Evidently #TextDataInsights #TextDescriptors #MachineLearning #ArtificialIntelligence #GenerativeAI #Python
Monitoring ML Models using Evidently AI 📈
medium.com
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🚨 Just published a new blog post addressing the challenges AI teams face bridging the gap from model development to production covering Auto Packaging & Publishing AI Pipelines and deploying and running custom Python code for custom inference pipelines. Link below 👇 https://lnkd.in/gEKG6GVP 🌟 BIG THANKS! to Christopher Tearpak and Microsoft for Startups for their continued partnership! 🤝 #ai #ml #mlops #azure #azureml #python Wallaroo.AI
How To Get from AI Prototype to Production with Minimal Effort
techcommunity.microsoft.com
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A bonus sixth blog post continuing the original series of five! Great to share useful content that can help startups on their AI journeys!
🚨 Just published a new blog post addressing the challenges AI teams face bridging the gap from model development to production covering Auto Packaging & Publishing AI Pipelines and deploying and running custom Python code for custom inference pipelines. Link below 👇 https://lnkd.in/gEKG6GVP 🌟 BIG THANKS! to Christopher Tearpak and Microsoft for Startups for their continued partnership! 🤝 #ai #ml #mlops #azure #azureml #python Wallaroo.AI
How To Get from AI Prototype to Production with Minimal Effort
techcommunity.microsoft.com
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How The Training Of The #AIModels Works The advent of #ArtificialIntelligence (#AI) has unleashed transformative potential across industries. This article delves into the intricate processes underlying the training of AI models,shedding light on the #algorithms that power this remarkable technology. As you embark on your journey to understand AI model training, consider the analogy of setting up a #technological foundation, much like renting Debian virtual server. Just as a solid server #infrastructure is essential for hosting a website, a robust training process is vital for nurturing AI’s cognitive abilities. https://lnkd.in/efVt36dt #machinelearning #Python
How the training of the AI models works - The Data Scientist
https://thedatascientist.com
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While it's been slightly less than 6 months ago, #Oracle's been explaining how they've implemented Generative #AI. For example, check out this blog post from Rave Harpaz and Xuyang (Arthur) Cheng on the use of #LangChain. #generativeai #datascience #python #softwareengineering #itnews #technews #devops #cloudcomputing #oraclecloud #oci #programming https://lnkd.in/gHXprk6j
Developing AI applications with OCI Generative AI and LangChain
blogs.oracle.com
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How The Training Of The #AIModels Works The advent of #ArtificialIntelligence (#AI) has unleashed transformative potential across industries. This article delves into the intricate processes underlying the training of AI models,shedding light on the #algorithms that power this remarkable technology. As you embark on your journey to understand AI model training, consider the analogy of setting up a #technological foundation, much like renting Debian virtual server. Just as a solid server #infrastructure is essential for hosting a website, a robust training process is vital for nurturing AI’s cognitive abilities. https://lnkd.in/dKm_CM2Z #machinelearning #Python
How the training of the AI models works - The Data Scientist
https://thedatascientist.com
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