Technology

What is Neural Semantic Search?

A neural search is an intelligent approach towards retrieving contextual and semantically relevant information. Instead of telling a machine a set of rules to understand what data is what, neural search does the same thing with a pre-trained neural network. This means developers don’t have to write every little rule, saving them time and headaches, and the system trains itself to get better as it goes along.

Conventional Search v/s Neural Search

Natural Language Processing

Pre-Requisites

I have collected the dots in the form of articles, please go through the below articles in the same order to connect the dots and understand the key tech stack behind the intelligent Kube Bot:

1. FastAPI — The Spiffy Way Beyond Flask!
2. Streamlit — Revolutionizing Data App Creation
3. A Brief Introduction to GPT-3

What is Kubernetes?

Kubernetes is an open-source container orchestration platform that enables declarative configuration and automated deployment of containerized workloads and services. It has a large, rapidly growing ecosystem. Kubernetes services, support, and tools are widely available. …

Pre-Requisites

I have collected the dots in the form of articles, please go through the below articles in the same order to connect the dots and understand the key tech stack behind AI-Stock Researcher- an application powered by GPT-3:

1. FastAPI — The Spiffy Way Beyond Flask!
2. Streamlit — Revolutionizing Data App Creation
3. A Brief Introduction to GPT-3

Fundamental Stock Analysis

Fundamental analysis attempts to assess a stock’s intrinsic value by considering a broad range of factors from the overall economy in relation to industry performance and a company’s financial factors such as earnings, profit margin, assets, and liabilities. …

Natural Language Processing

Pre-Requisites

I have collected the dots in the form of articles, please go through the below articles in the same order to connect the dots and understand the key tech stack behind Python Code Assistant- an application powered by GPT-3:

1. FastAPI — The Spiffy Way Beyond Flask!
2. Streamlit — Revolutionizing Data App Creation
3. A Brief Introduction to GPT-3

The Promising GPT-3 — Is it the beginning of a new AI ecosystem?

Natural Language Processing

Brief Overview 💡

Generative Pre-trained Transformer 3 is an autoregressive language model that uses deep learning to produce human-like text. It is the third-generation of language prediction model in the GPT-n series created by OpenAI. GPT-3 is an extension and scaled-up version of GPT-2 model architecture — It includes the modified initialization, pre-normalization, and reversible tokenization and shows strong performance on many NLP tasks in the zero-shot, one-shot, and few-shot settings.

In the above graph, it is clearly visible how GPT-3 dominates all the small models and gets substantial gains on almost all the NLP tasks. It is based on the approach of…

Natural Language Processing, Opinion

Pre-Requisites

I have collected the dots in the form of articles, please go through the below articles in the same order to connect the dots and understand the key tech stack behind Copy Assistant- an application powered by GPT-3:

1. FastAPI — The Spiffy Way Beyond Flask!
2. Streamlit — Revolutionizing Data App Creation
3. Brief Introduction to GPT-3

GPT-3 v/s Human Brain

GPT-3 has gained a lot of attention from the tech community because of its ability to perform natural language tasks that are convincingly human-like. Some have even suggested that GPT-3 (by OpenAI), is the first step towards artificial general intelligence (AGI), the ability to understand…

Natural Language Processing

What is GPT-3?

GPT-3 stands for Generative Pre-trained Transformer 3. It is an autoregressive language model that uses deep learning to produce human-like results in various language tasks. It is the third-generation of the language model in the GPT-n series created by OpenAI [1].

GPT-3 is an extension and scaled-up version of GPT-2 model architecture — It includes the modified initialization, pre-normalization, and reversible tokenization and shows strong performance on many NLP tasks in the zero-shot, one-shot, and few-shot settings.

Data Science, Programming

Before starting let's get the fact straight — Every Data Scientist isn’t a good frontend engineer. But in the world where “seeing is believing”, the aesthetics of your project is as important as the technology behind it. What can you do in the situation when you have an amazing data app, but no frontend expertise to present it to a larger audience.

Streamlit to the rescue!

Streamlit is an open-source python library capable of turning data scripts into sharable web applications within minutes. It makes it very easy to build custom web applications with minimal efforts and zero knowledge of front-end design frameworks (all…