Creator startup Spotter raises another $7.4M

-

Creator startup Spotter raises another $7.4M

Spotter, a startup that underwrites creators and offers AI tools, raised $7.4 million, according to a Form D filing viewed by TechCrunch. A representative for Spotter confirmed the filing’s legitimacy, but did not offer further details. This additional funding is much smaller than Spotter’s most recent raise, a $200 million Series D round led by […]

© 2024 TechCrunch. All rights reserved. For personal use only.

Summary

Spotter, a startup that provides underwriting and AI tools for creators, has raised $7.4 million, as confirmed by a Form D filing. While the company acknowledged the funding, no further details were provided. This latest amount is significantly smaller compared to Spotter's previous $200 million Series D funding round.

This article was summarized using ChatGPT

Comments

Post a Comment

Popular posts from this blog

Gemini - The New Kid On the Block

-
  Google Gemini vs. ChatGPT 4: A Comparative Analysis Google Gemini and ChatGPT 4 are two of the most advanced large language models (LLMs) currently available. They are both trained on massive datasets of text and code, and they can both generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way. However, there are some key differences between the two models. Gemini is still under development, but it has the potential to be more powerful than ChatGPT 4. Gemini is trained on a larger dataset than ChatGPT 4, and it uses a more advanced architecture. This means that Gemini is able to generate more creative and informative text than ChatGPT 4. However, Gemini is also more computationally expensive to train and use. Here is a more detailed comparison of the two models: Feature Gemini ChatGPT 4 Model size 285B parameters 100B parameters Training dataset 600B words 500B words Architecture Transformer Transformer Capabiliti
Read more

ChatGPT Prompt Hacks

-
 Here are some common prompt hacks for ChatGPT: Be specific: The more specific you are in your instructions, the better the output from ChatGPT will be. For example, instead of asking "Tell me about X," you could say "Summarize the three key points about X." Use flags: Flags are special keywords that you can use to customize the output from ChatGPT. For example, you can use the  context  flag to provide additional context, or the  instruction  flag to specify the format of the output. Use formatting options: ChatGPT also offers a variety of formatting options that you can use to make the output more readable and visually appealing. For example, you can use bullet points, tables, or code to format the output. Use the FITS model: The FITS model (Framework, Identity, Task, Style) is a framework that can be used to create more effective prompts for ChatGPT. The FITS model helps you to think about the different elements of your prompt and how they can be combined to get
Read more

OpenAI Releases Code Interpreter Plugin for ChatGPT

-
OpenAI Releases Code Interpreter Plugin for ChatGPT OpenAI has released a new plugin for its ChatGPT language model called Code Interpreter. This plugin allows ChatGPT to run code, optionally with access to files that have been uploaded. This means that users can ask ChatGPT to analyze data, create charts, edit files, perform math, and more. Code Interpreter is a powerful tool that can be used for a variety of tasks. For example, it can be used to: Generate charts and graphs to visualize data Clean and manipulate data sets Create interactive HTML files Analyze music playlists Extract color palettes from images The plugin has been met with positive reviews from users. Ethan Mollick, an associate professor at the Wharton School of the University of Pennsylvania, called it "the single most useful, interesting mode of AI I have used." He said that Code Interpreter "makes the AI much more versatile" and can provide structured data to back up points a user might wis
Read more