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Articles by Avikumar Talaviya
How Do LLMs Function?
Understanding the mechanisms and fundamentals behind the working of large language models Large Language Models (LLMs) represent a profound shift in artificial intelligence, demonstrating an advanced capacity to comprehend, generate, and interact with human language. Their operational core is rooted in the Transformer architecture, a groundbreaking innovation that revolutionised natural language processing by leveraging sophisticated attention mechanisms for parallel sequence processing.
Understanding the Large Language Models Using Hugging Face Transformers and Phi-3-Mini-Instruct Model
Overview of the large language model using Microsoft’s Phi3 mini instruct tuned model with code examples Introduction Large language models have transformed the perception of the artificial intelligence field among the general public, extending beyond the typical technical and academic audience.
How to build an AI agent using Llama Index and MonsterAPI
AI agents are the future and they can be the driving force to the future. AI agents are becoming increasingly integral to AI’s growth and new technological advancements.
How to Build an AI Agent using Llama Index and MonsterAPI
AI agents are the future and they can be the driving force to the future. They are the future and they can be the driving force to the future. AI agents are becoming increasingly integral to AI’s growth and new technological advancements.
How to Fine-Tune Large Language Models with MonsterAPI
Imagine if your virtual assistant could understand and anticipate your needs perfectly. This vision is becoming a reality with advancements in large language models (LLMs). However, to tailor these models to specific tasks, fine-tuning is essential. Think of it as sculpting a rough block into a precise masterpiece. MonsterAPI simplifies this process, making fine-tuning and evaluation accessible and efficient.
Automating Web Search Using LangChain and Google Search APIs
Artificial intelligence is expanding in the modern world because to a multitude of studies and inventions in the field from various startups and organizations. Researchers and innovators are creating a wide range of tools and technology to support the creation of LLM-powered applications.
Data mining methodologies to build real-world data products
Learn the must-know data mining techniques to develop and build machine learning-powered applications using flask Machine learning in notebooks has no real value beyond research and knowledge purposes. Businesses need to be able to monetize the data science and machine learning projects for which models must be deployed in production and maintained to realize their potential business impact and enhance the customer experience.
Coolest Social Media Tools to Boost Your Social Outreach
In today's digital age, the power of social media is undeniable. Whether you're a small business owner, a digital marketer, or an influencer, effectively leveraging social media can catapult your brand to new heights. However, managing multiple platforms, creating engaging content, and analyzing performance metrics can be overwhelming. Enter the realm of cutting-edge social media tools, designed to streamline your efforts and maximize your reach.
Top 5 AI Tools for Business & Marketing to Know
Welcome to our latest blog post, where we delve into the dynamic world of artificial intelligence and its transformative impact on business and marketing. In today's fast-paced digital landscape, harnessing the power of AI tools has become imperative for small businesses and freelancers seeking to thrive and stay ahead of the curve. In this article, we'll explore the top five AI tools that are revolutionizing the way businesses operate and market their products and services.
Top 5 AI Tools for Productivity that You Must Know
In today’s fast-paced digital landscape, harnessing the power of artificial intelligence has become imperative for boosting productivity. From streamlining workflows to generating content with unprecedented efficiency, helping to write a code, generating AI images, AI tools have revolutionised the way we work. In this blog, We’ll delve into the top five AI tools that can supercharge your productivity, helping you accomplish tasks faster and more effectively.
Building Natural Language to SQL Applications using LlamaIndex
With the rising advent of large language models and advancements in the field of AI we are witnessing new developments and opportunities in a way we work and interact with digital world around us. In this blog, we delve into the fundamentals of LlamaIndex, a groundbreaking technology that helps to build applications using LLMs. This course covers setting up a project environment, connecting to a database, and developing NL2SQL applications using LlamaIndex modules.
Building generative AI applications using LangChain and OpenAI APIs
Learn to use LangChain, ChromaDB, and OpenAI API to build a semantic search application pipeline. Generative AI is leading the latest tech wave in the industry. Applications like image generation, text generation, summarization, and question-and-answer bots, to name a few, are booming.
Machine Learning Experiment Tracking Using MLflow
The area of machine learning (ML) is rapidly expanding and has applications across many different sectors. Keeping track of machine learning experiments using MLflow and managing the trials required to construct them gets harder as they get more complicated. This can result in many problems for data scientists, such as: Loss or duplication of experiments: Keeping track of all the many experiments conducted can be challenging, which increases the risk of experiment loss or duplication.
Building custom question-answering app using LangChain and Pinecone vector database
Build a custom chatbot to develop Q&A applications from any data sources using LangChain, OpenAI, and PineconeDB (Note: This article is derived from a published article on analytics vidya - Learning objectives: Learn why a custom question-answering application is better than fine-tuning language model Learn to develop a semantic search pipeline with OpenAI and Pinecone Develop a custom Q&A application and deploy it on the streamlit cloud.
Building Custom Q&A Applications
The advent of large language models is one of our time’s most exciting technological developments. It has opened up endless possibilities in artificial intelligence, offering solutions to real-world problems across various industries. One of the fascinating applications of these models is developing custom question-answering or chatbots that draw from personal or organizational data sources.
Using LangChain to build LLM-powered applications
Learn everything you should know about LangChain for large language model applications (Note: This article was published on the Machine Hack blog platform - ) What is LangChain and what are its functions? Model I/O and Data connections Chains in LangChain Agents in LangChain Industry use-cases Conclusion Large language models have been the buzzword in recent times. Startups like OpenAI, Cohere, Anthropic, etc have released many LLMs during the past couple of years.
Building Generative AI Applications with LangChain and OpenAI API
Beginner Database Generative AI Github Large Language Models LLMs Introduction Generative AI is leading the latest tech wave in the industry. Generative AI Applications like image generation, text generation, summarization, and question-and-answer bots, to name a few, are booming.
Build Semantic search applications using Open Source Vector database ChromaDB
ChromaDB logo (Source: Official docs) Learn to use ChromaDB for a semantic search application Generative AI has taken big strides in the past year. Since the launch of the DALL-E 2 image generation model, many AI models like GPT-3.5, GPT-4, and Open-Source Models have become the talk of the town in the AI community and beyond.
Build Semantic Search Applications Using Open Source Vector Database ChromaDB
Introduction With the rise of AI applications and use cases, there has been an increased flow of various tools and technologies to facilitate such AI applications and allow AI developers to build real-world applications. Among such tools, today we will learn about the workings and functions of ChromaDB, an open-source vector database to store embeddings from AI models such as GPT3.5, GPT-4, or any other OS model. Embedding is a crucial component of any AI application pipeline.
Crop Yield Prediction Using Machine Learning And Flask Deployment
Introduction Crop yield prediction is an essential predictive analytics technique in the agriculture industry. It is an agricultural practice that can help farmers and farming businesses predict crop yield in a particular season when to plant a crop, and when to harvest for better crop yield. Predictive analytics is a powerful tool that can help to improve decision-making in the agriculture industry. It can be used for crop yield prediction, risk mitigation, reducing the cost of fertilizers, etc.
Predicting Site EUI Using Machine Learning
Environmental Sector Intermediate Machine Learning Regression Streamlit Introduction According to a report by the International Energy Agency (IEA), the lifecycle of buildings from construction to demolition was responsible for 37% of global energy-related and process-related CO2 emissions in 2020. Yet it is possible to drastically reduce buildings’ energy consumption by combining easy-to-implement fixes and state-of-the-art strategies.
Detect Cyberbullying Using Topic Modeling and Sentiment Analysis
Classification Supervised Topic Modeling Unsupervised Introduction With the rise in internet penetration across the world, followed by the rapid growth of social media companies, users are increasingly using various social media platforms to interact and engage with other like-minded individuals and also follow their favourite celebrities and influencers. With the increased use of social media, there has been a significant rise in cyberbullying cases as well.
Machine Learning Solution Predicting Road Accident Severity
Avikumar Talaviya — Published On January 14, 2023 and Last Modified On January 15th, 2023 Beginner Data Analysis Datasets Machine Learning Project python This article was published as a part of the Data Science Blogathon. Introduction This is a multiclass classification project to classify the severity of road accidents into three categories. This project is based on real-world data, and the dataset is also highly imbalanced.
Streamlit Tutorial: Building Web Apps with Code Examples
This article was published as a part of the Data Science Blogathon. Introduction Streamlit is an open-source tool to build and deploy data applications with less coding compared to other front-end technologies like HTML, CSS, and JavaScript. It is a low-code tool specifically designed for building data science applions.
Understanding Word Embeddings and Building your First RNN Model
This article was published as a part of the Data Science Blogathon. Introduction Deep learning is one of the hottest fields in the past decade, with applications in industry and research. However, even though it’s easy to delve into the topic, many people are confused by the terminology and end up only implementing neural network models that do not match their expectations.
A complete guide on HOW to apply for data science JOBS to stand out in the job market
In this blog, Find a few tips to apply for data science jobs even if you are a student, professional, or have some working experience A data science job application is an essential part of a job seeker's process. The application process is in itself a long and stressful one that can have a significant impact on your chances of getting through to the next round in the interview process.
A complete beginners guide
In this article, we are going to talk about Convolutional Neural networks (CNNs) or also known as 'Convnets' in deep learning terminologies. I will explain Convnets with their application to the...
10 Data Science certifications you can consider to UPSKILL yourself in the Data Science domain and...
10 Data Science certifications you can consider to UPSKILL yourself in the Data Science domain and.... Find 10 Data science certifications to upskill yourself.
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