Ready to master Data Science? This study roadmap by @bigdataspecialist outlines key steps from math fundamentals to machine learning and Kaggle competitions. #DataScience #MachineLearning #AI
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Local Codestral Generates Medical Imaging Code With Keras
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Local Codestral generating #scikitlearn and Keras code to run a medical imaging prediction on the fly. I like that 🙂 https://t.co/4jaqua0weN
— Arthur Mensch (@arthurmensch) 19 juin 2024Local Codestral generating #scikitlearn and Keras code to run a medical imaging prediction on the fly. I like that 🙂
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Suno AI Audio Import Feature Comparison Analysis
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great exactly what i was looking for to compare with new @suno_ai_ audio import
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SEO Industry Increasingly Relies on AI-Generated Content
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On doit être trop dans une bulle ou je ne connais plus que des SEO qui génèrent des contenus avec l'IA
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5 AI Tools to Optimize Your Job Search in 2024
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Looking to land your dream job in 2024? Check out these 5 AI tools that can help optimize your LinkedIn profile, ace interviews, and more! Thanks to @careerflow_ai for this great guide. Follow @ingliguori #DigitalTransformation #innovations
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TCS AI WisdomNext: GenAI Aggregation Platform for Enterprise
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Introducing @TCS AI WisdomNext, a groundbreaking GenAI aggregation platform that simplifies AI adoption with a unified interface, pre-configured blueprints, and intelligent evaluator bots. Unlock data potential, drive innovation, and gain a competitive edge. Read more to learn
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LLM Apps with RAG: Discover Awesome GitHub Repository
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Find all the awesome LLM Apps demo with RAG in the following Github Repo. P.S: Don't forget to star the repo to show your support
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Building AI Financial Planner with User Input and Streamlit
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5. Get User Input and Generate Financial Plan • Create text inputs for the user to enter their financial goals and current financial situation.
• When the button is clicked, run the Planner assistant to generate the financial plan and display it using 'st.write()' -
Setting Up Streamlit App Interface with Title and Description
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3. Set up the Streamlit App • Add a title to the app using 'st.title()'
• Add a description for the app using 'st.caption()' -
Essential Libraries for Building AI Agents with Streamlit and OpenAI
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2. Import necessary libraries • Streamlit for building the web app
• phi for building AI agents and tools
• OpenAI for using GPT-4
• SerpAPI for web search functionality