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I recently acquired access to ChatGPT, one of the most advanced language models out there, and I must say it has made a significant impact on my analytics work. It has definitely become an integral part of my daily use.
Analytical support: ChatGPT does a great job of providing accurate and timely answers. It can also help me analyze large amounts of data. Efficiency: This product allows me to work more efficiently by using it to quickly find information or get recommendations.
OpenAI continues to lead the way among the foundation model providers. I started using ChatGPT at 3.5 much like many other people. And although it was extremely powerful, it doesn't compare to what it has become with the new reasoning models like o1 and o3. These models produce outputs that are on a new level in terms of quality.
I've been using custom GPT's extensively and they are very valuable once you get them dialed in to your own specific workflows. they recently rolled out projects which also have the ability to add custom instructions. Many of the custom GPT's that I've made do not need anything other than custom instructions. They don't need Web hooks or documents to reference, so a project will suffice. projects also allow connecting and switching between some of the newer reasoning models as well while custom GPT's are limited to the 4o model.
Real time voice assistant is a game changer when you are on the go. And the human-like speech synthesis is incredible. uploading photos and giving the voice assistant access to live video from your phone has so many use cases that I have yet to realize.
Many of the tools we have on WordStudio are powered by the OpenAI family of models via API. We recently hooked some of the tools to their o1 model and the improvements in the outputs are astounding.
I've tried Anthropic's Claude and have experimented with DeepSeek, but I keep returning to ChatGPT for critical work.
My journey with GPT-4 as a novice programmer has been nothing short of remarkable. I used it to write a game, and despite my limited programming knowledge, I was astonished by the results.
It makes coding suggestions, completes my code, and even identifies bugs, which has been a game-changer for me. It feels like having a co-programmer who anticipates my needs and guides me in the right direction.
Based on our record, ChatGPT seems to be a lot more popular than TABLUM.IO. While we know about 837 links to ChatGPT, we've tracked only 3 mentions of TABLUM.IO. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
For your convenience, I've accessed a summarizer technology which you can try out any time you need it. You'll find it at https://chat.openai.com/ . Here are the big, recent U.S. Antitrust rulings against Google, with what each court actually decided and where things stand: #1 Search monopoly (DOJ v. Google โ โSearchโ case) โ liability found (Sept 2024). - Source: Hacker News / about 1 month ago
Log in to ChatGPT Head over to the official ChatGPT website and sign in to your account. - Source: dev.to / about 2 months ago
Tools: ChatGPT (free), Claude, Django, FastAPI, Node.js ChatGPT is great for planning and scaffolding. Claude shines when working with multiple files or complex refactoring. Together, they can spin up routes, models, authentication, and even database setup in record time. - Source: dev.to / about 2 months ago
Https://chat.openai.com/?q=Can%20you%20summarize%20this%20page%3A%20https%3A%2F%2Fdocs.kinde.com%2Fget-started%2Fguides%2Ffirst-things-first%2F. - Source: dev.to / 2 months ago
Open any ChatGPT website and open a chat window. Then, click the Tools dropdown and select Agent Mode, or simply type /agent into the chat box. - Source: dev.to / 2 months ago
For the data loaded from the raw and unstructured data sources (RESTful APIs, files, feeds) I'd recommend checking tablum.io. The data first gets into the staging SQL DB where you can apply transformations in SQL (ClickHouse dialect with hundreds of ready-to-use functions for aggregations, transformations, string and array processing, etc). After that, you can set up a pipeline to external DWH or DB. Or just... Source: over 2 years ago
Fairly easy to parse it with Python (or any other scripting languages that support regular expressions). Besides, there're no-code parsers that can do that. E.g. tablum.io, it has a regexp parser that turns poorly formatted text into an SQL table. All you need it is to provide the regular expression (regexp) to split the text (per-line basis or the entire text) into chunks that become SQL rows and columns, after... Source: over 2 years ago
You're right. There should be some way to safely pass the authentication token without storing it in the query. BTW, to keep all data within the company network perimeter and no share any keys with the cloud service, one can install tablum.io as a self-hosted version on a Linux server (it runs in Docker). Source: over 2 years ago
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