How to Detect the Trend in the Time Series Data and Detrend in Python
Author(s): Rashida Nasrin Sucky Originally published on Towards AI. Photo by Polly Alexandra on Unsplash Before choosing any time series forecasting model, it is very important to detect the trend, seasonality, or cycle in the data. Half the job is to understand …
Neural Network from Scratch
Author(s): Abhishek Chaudhary Originally published on Towards AI. Many of us have a functional understanding of neural networks and how they work. Iβve even studied this particular term multiple times, and every time, I convince myself that I know what Iβm talking …
Productionizing Generative AI Applications
Author(s): Marie Stephen Leo Originally published on Towards AI. 5 Practical, Beginner-Friendly Tips to Transform Your Generative AI Projects!Image generated by Author using Dall E 3 with manual edits for text Over the past year, Iβve been building and scaling customer-facing GenAI …
Dark Data: Opportunity or Threat
Author(s): Adam Ross Nelson Originally published on Towards AI. A visual analysis of the dark data phenomena Organizations suffer from what is often known as the dark data problem. This article reframes the issue as an opportunity: the dark data opportunity. Dark …
How To Fine-Tune The CRAFT Text Detection Model In EasyOCR
Author(s): Eivind Kjosbakken Originally published on Towards AI. The CRAFT model (Character-Region Awareness For Text detection) model in EasyOCR is used to detect bounding boxes of text inside an image. These bounding boxes are then sent to the text recognizer module of …
Metaβs Self-Rewarding Models, the Key to SuperHuman LLMs?
Author(s): Ignacio de Gregorio Originally published on Towards AI. Meta, the company behind Facebook, Whatsapp, and Raybanβs Meta glasses, has announced a recent, highly promising AI breakthrough, Self-Rewarding Language Models. Their results have allowed their LLaMa-2 70B fine-tuned model to surpass models …
Can ChatGPT Solve Mensa Puzzles?
Author(s): Jim the AI Whisperer Originally published on Towards AI. Daily Challenges: AI vs. Mensa Calendar Puzzles The elephant in the room with AI is: what even is βintelligenceβ? Iβm sure everyone is familiar with the Turing Test, which LLMs have pretty …
ONNX Unleashed: Training and Optimizing BERT Models for Streamlit Web Apps
Author(s): Marcello Politi Originally published on Towards AI. Learn to quantize and deploy your Deep Learning model with ONNXPhoto by ζζ¨ζ··ζ ͺ cdd20 on Unsplash In this article, I want to accomplish something very simple: build a web app that recognizes an emotion …
Intro to OpenAI GPT-4 Text- Embedding-3 (New-Update)
Author(s): Gao Dalie (ι«ιη) Originally published on Towards AI. if you are creating an advanced bot or automation with Open AI, you will likely need to check how similar two or more pieces of text are. using embedding helps us do this. …
The Unsung Hero of Machine Learning β Linear Algebra
Author(s): Saif Ali Kheraj Originally published on Towards AI. Image by https://www.istockphoto.com/photos/linear-algebra Machine learning, data mining, deep learning, and advanced optimization algorithms all rely heavily on linear algebra. In this post, we will go over some of the most fundamental concepts, including …
Docker Essentials: Streamlining Multi-Service Application Orchestra
Author(s): Afaque Umer Originally published on Towards AI. Unlocking the Power of Compose for Seamless Machine Learning WorkflowsPhoto by Larisa Birta on Unsplash In the ever-evolving landscape of machine learning experimentation and application development, navigating the coordination of diverse system components poses …
Preparing time-series to build a Pollution Forecasting Model with Python
Author(s): Fabiana Clemente Originally published on Towards AI. A step-by-step guide This article was co-authored by Ian Spektor, Lead Machine Learning Engineer @ Tryolabs, who is passionate about data-science and time-series data. The adoption of AI and the application of Machine Learning …
Roadmap To Become A GenAI Expert In 2024
Author(s): Harshmeet Singh Chandhok Originally published on Towards AI. In the future, every company will need to leverage generative AI in order to stay competitive and drive innovation.β β Kai-Fu Lee, Former President of Google China. As we all have entered a …
How To Make a Synthesized Dataset To Fine-Tune Your Ocr
Author(s): Eivind Kjosbakken Originally published on Towards AI. Fine-tuning your OCR engine to your specific use case is required if you want to achieve state-of-the-art performance for your situation. Fine-tuning an OCR engine requires a large dataset, however, which is expensive to …
Hands-On LangChain for LLM Applications Development: Information Retrieval
Author(s): Youssef Hosni Originally published on Towards AI. Effective retrieval becomes crucial during query time when you need to fetch the most relevant information based on a given query. In our previous lesson, we delved into the fundamentals of semantic search, noting …
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