With the No-Code revolution around the corner, and the coming of new-age technologies like GPT-3 we may see a stark difference between the career of today and the careers of tomorrow…

“If I had asked people what they wanted, they would have said faster horses.” — Henry Ford

GPT-3 101

GPT-3 from OpenAI has captured public attention unlike any other AI model in the 21st century. The sheer flexibility of the model in performing a series of generalized tasks with near-human efficiency and accuracy is what makes it so exciting. It has created a paradigm shift in the world of Natural Language Processing(NLP), where till now the models were trained based on the ungeneralized approach to excel at one or two tasks.

GPT-3 is the first step towards democratizing access to technology. It enables audiences from all walks of life to solve complex technical problems from the comfort of a…


Technology

Since the inception of online search, the world has changed dramatically, but the “curiosity” that fuels the business remains constant…

“The objective isn’t to make your links appear natural, the objective is that your links are natural” — Matt Cutts

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

Auto-generate Kubernetes commands from plain English by leveraging the world’s most advanced language model.

Actions without Orchestration is just burnout; Kubernetes is an efficient orchestration of containers!

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. …


Auto-generate stock fundamental analysis from simple natural language inputs by leveraging the world’s most advanced language model.

“The most difficult thing is the decision to act, the rest is merely tenacity.” → Amelia Earhart

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

Auto-generate python code from simple natural language by leveraging the world’s most advanced language model.

Any sufficiently advanced technology is indistinguishable from magic — Arthur C. Clarke

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

GPT-3 is transforming the way businesses can leverage AI to empower the existing products and come up with the next-gen of product offerings.

In this 21'st century, data privacy is not an option it’s a mandate…

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

Generate creatively crafted professional marketing copies in minutes by leveraging the world’s most advanced language model.

Good ideas don’t require lots of other people to make them happen — GPT-3 version of Naval Ravikant

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

OpenAI recently published a new successor to their language model, GPT-3, which is now the largest model trained so far with 175 billion parameters.

What fools call “wasting time” is most often the best investment — GPT-3 version of Nassim Taleb

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

An elegant and efficient framework to build and share data apps within minutes.

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…


Natural Language Processing

Build Industrial strength Named Entity Recognition (NER) applications within minutes…

spaCy = space/platform agnostic+ Faster compute

Named Entity Recognition is one of the most important and widely used NLP tasks. It's the method of extracting entities (key information) from a stack of unstructured or semi-structured data. An entity can be any word or series of words that consistently refers to the same thing. Every detected entity is classified into a predetermined category. For example, a NER model might detect the word “India” in a text and classify it as a “Country”.

Many popular technologies that we use in our day-to-day life such as smart assistants like Siri, Alexa are backed by Named Entity Recognition. Some other…

Shubham Saboo

AI @ Arcesium | Tech Leaders Fellow at Plaksha University | From Confusion to Clarity 🎯

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