Agentsmith.dev VS GPT-J

Compare Agentsmith.dev VS GPT-J and see what are their differences

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GPT-J

Open-source cousin of GPT-3, everyone can use it

Image date //
2025-08-06

Agentsmith makes it easier for non-technical prompt authors to write templated prompts and hand them off to engineers seamlessly through GitHub.

author flexible and re-usable prompts with jinja syntax
our editor interface automatically extracts typed variables
built on top of OpenRouter, easily test or switch to any LLM
syncs prompts as template files to a pull request in your GitHub repo
sync goes both ways, you push changes to git if you prefer
the sync engine also generates types ensure correct prompt compilation at build-time

Landing page //
2022-04-02

Agentsmith.dev

Website: agentsmith.dev
Pricing URL: Official Agentsmith.dev Pricing
Startup details
Country: Finland

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GPT-J

Website: 6b.eleuther.ai
Pricing URL: -

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Agentsmith.dev features and specs

No features have been listed yet.

GPT-J features and specs

Open Access
GPT-J is open-source, providing public access to a powerful language model, which supports transparency, experimentation, and innovation by various users and developers.
Large Model Size
With 6 billion parameters, GPT-J is one of the largest open-source models, offering significant capabilities in generating coherent and contextually relevant text.
Versatile Applications
GPT-J can be used for a wide range of tasks, including text generation, summarization, translation, and more, making it a flexible tool for different use cases.

Possible disadvantages of GPT-J

Resource Intensive
Running GPT-J requires substantial computational resources, including high-performing GPUs and significant memory, which may not be accessible to all users.
Bias and Inaccuracies
Like other large language models, GPT-J can produce biased or inaccurate outputs, reflecting the biases present in the data it was trained on.
Complexity
Implementing and fine-tuning GPT-J can be complex, requiring expertise in machine learning and model deployment, which may be a barrier for less experienced users.

Analysis of GPT-J

Overall verdict

GPT-J is a powerful and capable model for a wide range of natural language processing tasks. However, like all AI models, it is not perfect and can produce undesirable outputs. Overall, it is considered a strong option, especially for those who require an open-source solution.

Why this product is good

GPT-J, developed by EleutherAI, is a large-scale language model with 6 billion parameters, similar in architecture to OpenAI's GPT-3. It is considered good because it can generate coherent and contextually relevant text, perform various language tasks, and is open-source, which allows for greater accessibility and transparency from a research and application perspective.

Recommended for

GPT-J is recommended for developers, researchers, and organizations seeking an open-source and robust language model for tasks like text generation, summarization, translation, and more. It's particularly well-suited for those who want to fine-tune or deploy a state-of-the-art model without incurring the cost of proprietary alternatives.

Agentsmith.dev videos

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GPT-J videos

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GPT-J-6B versus Curie - Head-to-Head Transformer Comparison

Category Popularity

0-100% (relative to Agentsmith.dev and GPT-J)

Agentsmith.dev

GPT-J

AI Tools

100 100%

AI Tools

0% 0

Productivity

0 0%

Productivity

100% 100

Open Source

14 14%

Open Source

86% 86

4 4%

96% 96

User comments

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Social recommendations and mentions

Based on our record, GPT-J seems to be more popular. It has been mentiond 95 times since March 2021. 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.

Agentsmith.dev mentions (0)

We have not tracked any mentions of Agentsmith.dev yet. Tracking of Agentsmith.dev recommendations started around Aug 2025.

GPT-J mentions (95)

The Pile: a dataset for language modeling [pdf]
This is true, and it's why I hesitated to file legal action. My goal was to benefit hackers. If the outcome causes problems for people who are just trying to share their work, I'd be upset. Ultimately what convinced me to proceed is that there are immense forces pressuring ML models to become SaaS companies. It's very difficult to offer an ML model for extended periods without being a company. E.g.... - Source: Hacker News / about 2 years ago
New Replika app with ERP.
I believe Eleuther was much more selective what training data to use which is why they didn't need so many parameters. But is sounds like they're a pretty dedicated crew that will be working to make more open-source alternatives for ChatGPT for years to come. I'll bet there will be something with a massive parameter set in the next few years... Plus Elon made that announcement that he wants to put a bunch of... Source: over 2 years ago
GPT-J, an open-source alternative to GPT-3
They hinted at it in the screenshot, but the goods are linked from the https://6b.eleuther.ai page: https://github.com/kingoflolz/mesh-transformer-jax#gpt-j-6b (Apache 2). - Source: Hacker News / almost 3 years ago
Did you know you can get ChatGPT to generate images with Stable Diffusion?
Ah, yes. I remember I did this with Emerson AI, only that I expanded Emerson AI's text with 6b.eleuther.ai, sent it to Blenderbot 3 so he can learn about the issue over time, then copy/pasted that into dall-E mini to generate the image. Source: almost 3 years ago
[Summary] AI text based alternatives that I found that might be a d... r/AIDungeon [Advice]
Https://6b.eleuther.ai (I’m not sure if this is any good but give it a try anyway ~). Source: almost 3 years ago