Pick the Right AI for YOU (Are They all The Same?!)

Matt Wolfe
25 Apr 202415:29

TLDRThe video discusses a resource called gmtech, found at gm.com, which allows users to compare various large language and image models from platforms like OpenAI, Google, Amazon, and others. The narrator highlights the tool's user interface and experience, noting its under-the-radar status despite its utility. As a paid platform offering a free month with a coupon code, gmtech provides credits to use various APIs, simplifying the process of testing different models. The video demonstrates how the platform can be used to compare the speed, creativity, and cost of different models using prompts. It also touches on the challenges of creating visually appealing content when comparing language models, as they often provide similar outputs. The narrator shares insights on the convergence of large language models and the factors that may influence a user's choice, such as cost and API ease of use. Additionally, the video explores image generation models and their ability to interpret complex prompts. The summary concludes with an invitation to explore more AI tools at Future Tools and to subscribe to a newsletter for curated AI news and tools.


  • πŸ” The resource gmtech, found at gm.com, allows for comparison of various large language and image models from different platforms like OpenAI, Google, Amazon, and others.
  • πŸ’‘ GM Tech is a paid platform costing $15 per month, which provides credits for using the APIs of the compared platforms, effectively centralizing the API usage and costs.
  • πŸŽ‰ A free trial is available for the first month using the coupon code TR GM Tech.
  • πŸ€– The platform offers two main features: comparing chat with multiple AI models side by side, and chatting with one AI model with the ability to switch models anytime.
  • πŸ“ˆ GM Tech allows users to compare response times, costs, and outputs of different models, providing a comprehensive analysis tool for AI model performance.
  • πŸ“Š In a test comparing creativity prompts, Gemini Pro responded the fastest, while the cost of the responses varied among the models.
  • πŸ€– Many of the language models provided similar creative business ideas, indicating a convergence in the quality of their outputs for common use cases.
  • πŸ˜‚ Large language models still struggle with humor, as evidenced by the repeated joke about atoms that several models generated.
  • πŸ”’ When prompted to pick a number between 1 and 100, a significant number of models chose 42, possibly due to its cultural significance and overtraining in models.
  • πŸ–ΌοΈ GM Tech also enables comparison of image generation models, with Dolly 3 being particularly adept at incorporating all elements of a complex prompt into a generated image.
  • πŸ“ˆ The tool provides a side-by-side comparison of image and language model responses, including response time and cost, offering a valuable insight into the efficiency and cost-effectiveness of different models.
  • 🌐 The video emphasizes that for most common use cases, the differences between large language models are diminishing, making the choice of model more about cost, ease of use, and API accessibility rather than output quality.

Q & A

  • What is the name of the resource the speaker found for comparing AI models?

    -The resource is called gmtech and can be found at gm.com.

  • What does gmtech allow users to do?

    -Gmtech allows users to compare various large language models and image models from different platforms like Open AI, Google, Mol's models, Anthropics, Meta Coher, Amazon, and AI 21.

  • What is the current limitation of gmtech regarding the models it includes?

    -As of the recording, gmtech does not include Llama 3 and only has CLA 3, Sonet, and not Cloud 3 Opus.

  • How much does gmtech cost to use?

    -Gmtech is a paid platform that costs $15 a month, which covers the use of APIs from the included platforms.

  • What is the purpose of the credits provided by gmtech?

    -The credits provided by gmtech are used in their platform to access the APIs from the various AI model providers, instead of paying directly to those providers.

  • What is the speaker's opinion on the user interface and user experience of gmtech?

    -The speaker finds the user interface and user experience of gmtech to be really good, which is why they are surprised that it is not more well-known.

  • What feature of gmtech does the speaker find exciting?

    -The speaker is excited about the compare feature of gmtech, which allows for side-by-side comparison of conversations with multiple AI models.

  • What was the creativity prompt given to the AI models for testing?

    -The creativity prompt was to give five outside the box business ideas that are fun for the entrepreneur, have high profitability potential, and are ideas that no one else is doing.

  • How did the AI models perform in generating business ideas?

    -The AI models generated a variety of creative business ideas, with some overlap in their suggestions, and the formatting of the responses varied among the models.

  • What common issue was observed when the speaker asked the AI models to tell a joke?

    -Three out of the five language models gave the exact same joke, indicating a lack of diversity in their humor generation capabilities.

  • What was the surprising result when the AI models were asked to pick a number between 1 and 100?

    -60% of the models gave the number 42, which is likely due to the number's prominence in 'The Hitchhiker's Guide to the Galaxy' and its overtraining in the models.

  • What additional feature of gmtech allows for testing and comparison of image models?

    -Gmtech also has the ability to test out different image models, allowing users to compare their outputs side by side.



πŸ” Exploring GMTech for Model Comparison

The speaker introduces GMTech, a platform for comparing various large language and image models. GMTech is accessible at gm.com and allows users to compare models from Open AI, Google, Anthropics, Meta Coherence, Amazon, and AI 21. It also includes image generation models like Stable Diffusion, Open AI, Amazon's, and Google's. The speaker notes the absence of Llama 3 and Cloud 3 Opus but appreciates the tool's user interface and experience. GMTech is a paid platform costing $15 per month, which covers the use of APIs from the compared platforms. The speaker also mentions a free month offer with a specific coupon code. The platform offers two options: comparing multiple AI models side by side or switching between models in a single chat interface. The speaker is particularly interested in the comparative feature and proceeds to test the creativity of different models using a prompt for business ideas.


πŸ€– Comparing Creativity and Humor in Language Models

The speaker discusses the results of using the GMTech platform to compare the creativity of various language models by providing them with a business ideas prompt. The models tested include Anthropic GPT, Llama 2, Gemini Pro, and Mistal Large. The speaker observes the formatting differences in the responses, noting that some models provided better-formatted answers. Response times and costs for each model are also compared. The speaker highlights the similarity in the ideas generated by the models and the overlap in their outputs. They also express the challenge of creating visually appealing content when discussing large language models and mention their struggle to find significant differences between the models in creative tasks. The speaker then tests the models' humor capabilities by asking them to tell a joke, noting that many provided the same joke, indicating a lack of diversity in their humor generation. Additionally, the speaker references an article about the prevalence of the number 42 in model responses and tests this by asking the models to pick a number between 1 and 100, observing that a majority chose 42.


πŸ–ΌοΈ Evaluating Image Generation Models with GMTech

The speaker explores GMTech's capabilities for comparing image generation models. They select several models and use a standard prompt of a wolf howling at the moon to compare the outputs. The speaker then presents a more complex prompt involving a three-headed dragon wearing cowboy boots, watching TV, and eating nachos to test how each model captures multiple elements in a single image. The results vary, with some models capturing all elements while others miss certain details. The speaker notes the cost associated with generating images through the platform and expresses their satisfaction with the tool's ability to compare both language and image models side by side. They also mention the absence of certain models like Mid Journey and Adobe Firefly, which are not yet available for testing in the tool.


πŸ“ˆ Trends and Insights on Large Language Models

The speaker reflects on the convergence of capabilities among large language models, noting that for most common use cases, such as creative writing, brainstorming, number picking, and joke telling, the outputs are quite similar across different models. They suggest that the choice of model may come down to factors like cost, ease of use, and API accessibility rather than the quality of outputs. The speaker predicts that models will continue to improve and become more comparable over time. They also share their thoughts on the challenges of creating comparison videos given the models' similarities and mention their intention to focus on single-topic videos based on community feedback. The speaker concludes by inviting viewers to explore GMTech and other AI tools and to subscribe to their newsletter for curated AI news and tools.



πŸ’‘Large Language Models

Large Language Models (LLMs) are advanced artificial intelligence systems designed to process and generate human-like language. They are trained on vast amounts of text data and can perform a variety of tasks, such as answering questions, writing stories, and even translating languages. In the video, the host discusses the comparison of different LLMs using a tool called gmtech, highlighting their capabilities in creative writing and humor, which is a significant aspect of natural language processing.

πŸ’‘Image Generation Models

Image Generation Models are AI systems that can create visual content based on textual descriptions. These models use deep learning to generate images that can range from simple patterns to complex scenes. In the context of the video, the host uses gmtech to compare different image generation models, such as Stable Diffusion 3, by providing them with prompts and evaluating how well each model incorporates the elements of the prompt into the generated images.


API stands for Application Programming Interface, which is a set of protocols and tools that allows different software applications to communicate with each other. In the video, the host mentions that gmtech uses APIs from various platforms to enable users to interact with different AI models. The cost associated with using gmtech is partly due to the expenses of utilizing these APIs.


gmtech is a platform that allows users to compare different AI models, both language and image generation models. It provides a user interface for testing and comparing the performance of various models side by side. The host of the video found gmtech to be a valuable resource for understanding the capabilities and differences among several AI models available in the market.

πŸ’‘Stable Diffusion

Stable Diffusion is an image generation model that is capable of creating images from textual descriptions. It is mentioned in the video as one of the models available for comparison on gmtech. The host tests this model by providing it with a complex prompt to see how well it can generate an image that includes all the elements described.

πŸ’‘AI Model Integration

AI Model Integration refers to the process of incorporating AI models into a platform or application to perform specific tasks. The video discusses how gmtech is continuously adding new AI models to its platform, which allows users to compare an ever-growing number of models as they become available.

πŸ’‘User Interface (UI)

User Interface (UI) is the space where interactions between users and a digital device occur. It involves the design of the layout, visuals, and interaction methods that allow users to engage with a system. The host praises the UI of gmtech for its user-friendly design, which facilitates the comparison of AI models in an accessible and visually appealing manner.

πŸ’‘Response Time

Response Time is the duration it takes for a system to react to a user's input or command. In the context of the video, the host compares the response times of different AI models when generating text or images, which is an important factor in user experience and the practical usability of the models.

πŸ’‘Cost of Output

Cost of Output refers to the financial expense associated with generating a particular result or output from an AI model. The video discusses the costs associated with using different models on gmtech, which is influenced by the credits system of the platform and the underlying API costs of the models being used.

πŸ’‘Creativity Prompt

A Creativity Prompt is a stimulus used to elicit a creative response, often used in the context of AI to test the model's ability to generate novel and original ideas. The host uses a creativity prompt to test the various AI models on gmtech, asking for business ideas that are unique, fun, and potentially profitable.

πŸ’‘Humor in AI

Humor in AI refers to the ability of AI models to understand, generate, or process humor. It is a complex aspect of language and is often challenging for AI. The video script notes that while the AI models perform similarly across many tasks, they still struggle with humor, indicating that humor remains a difficult area for AI to master.


A valuable resource for comparing various large language and image models is gmtech, available at gm.com.

Gmtech allows for comparison of models from OpenAI, Google, Anthropics, Meta, Amazon, and AI 21.

The platform also compares image generation models like Stable Diffusion, OpenAI, Amazon's, and Google's.

Gmtech is a paid platform costing $15 a month, providing credits to use various APIs.

A free month is offered with the coupon code TR GM Tech.

The tool offers options to compare chat with multiple AI models side by side or chat with one model and switch between models.

Gemini Pro and Mistol provided better formatted responses compared to GPT 4, Llama 2, and CLA 3 Sonet.

Gemini Pro was the fastest to respond, taking only 4.9 seconds.

The cost of generating responses varied, with GPT 4 costing almost 2 cents and Llama 2 less than a penny.

Many models suggested similar creative ideas, indicating a convergence in outputs.

Large language models struggle with humor and have historically found math and logic challenging.

Gmtech also enables testing of different image models, with Stable Diffusion 3 already integrated.

A prompt for a complex image involving a three-headed dragon, cowboy boots, TV watching, and eating nachos was used to test image models.

Dolly 3 was the most prompt-adherent, including all requested elements in its generated image.

AI models tend to give similar responses for certain prompts, such as jokes and numbers.

When asked for a number between 1 and 100, 60% of models tested responded with 42.

The convergence of capabilities among large language models makes it difficult to distinguish one as superior in common use cases.

The choice of which large language model to use may come down to cost, ease of use, and API convenience rather than output differences.

Gmtech is a useful tool for comparing AI models, but the similarity in outputs across models makes creating comparative content challenging.