GPT-OSS: NEW OpenAI Update is INSANE (FREE)! 🤯
TLDRThe video discusses the release of GPT-OSS, a new open-source AI model from OpenAI, available for free hosting on personal devices like laptops. The models, GPT-OSS 120B and 20B, are released under an Apache 2.0 license and offer strong reasoning capabilities and safety standards. The host demonstrates how to download and run these models using platforms like Olama and LM Studio, highlighting their ease of use and performance. They also explore the model's capabilities through various tests, showing its potential for text generation and reasoning tasks. The video concludes with a discussion on the benefits of local hosting, including privacy and offline access.
Takeaways
- 🎉 OpenAI has released two open-source models, GPT-OSS-20B and GPT-OSS-120B, under the Apache 2.0 license, available for free hosting on platforms like Olama.
- 💻 These models can be hosted locally on devices like laptops, offering offline access and enhanced privacy without sending data to external servers.
- 📈 The GPT-OSS 120B model achieves near-par performance with OpenAI's 40B model on core reasoning benchmarks, showing significant advancements in reasoning capabilities.
- 🌐 The models are available on multiple platforms, including Hugging Face, Olama, and LM Studio, providing flexibility in how users can access and utilize them.
- 💰 One major benefit is cost savings, as users can leverage these models for free instead of paying for proprietary AI solutions.
- 🔍 The models perform comparably to frontier models on internal safety benchmarks, ensuring developers can maintain high safety standards.
- 📊 Testing shows that the GPT-OSS models perform well in various tasks, such as reasoning and content generation, though they may lag in some expert-level questions.
- 🛠️ Users can configure the reasoning effort (low, medium, high) and fine-tune the models based on specific parameters to suit their needs.
- 🌐 For users with less powerful laptops (e.g., M3 Pro), accessing the models via Hugging Face or other online platforms might be more practical than running them locally.
- 📚 The release includes detailed documentation and a white paper, providing comprehensive information on the models' capabilities and potential use cases.
- 🔗 The AI Profit Boardroom offers additional resources, training, and community support for those interested in leveraging these models and other AI tools.
Q & A
What is GPT-OSS, and how can it be used?
-GPT-OSS is an open-source release from OpenAI that allows users to host the model directly on their laptops for free. It includes two models, GPT-OSS 12B and GPT-OSS 20B, which offer strong reasoning capabilities and safety standards. Users can download and run these models locally for offline, private use.
What are the benefits of using OpenAI OSS models?
-The benefits of using OpenAI OSS include the ability to use the models offline, ensuring privacy by not sending data to external servers, and accessing them without additional costs. Additionally, these models offer comparable performance to some of OpenAI's more powerful models, especially in reasoning tasks.
How can I download and install GPT-OSS models?
-You can download the models from platforms like Olama or LM Studio. For example, on Olama, you can download the model and run it locally on your laptop. The process involves downloading the software, setting it up, and using terminal commands to load the model.
What are the performance differences between GPT-OSS 12B and GPT-OSS 20B?
-GPT-OSS 12B generally performs better in reasoning tasks compared to GPT-OSS 20B. For instance, on core reasoning benchmarks, GPT-OSS 12B achieves near parity with OpenAI's 40B model, while GPT-OSS 20B is slightly behind in performance.
Can I use GPT-OSS models on Hugging Face?
-Yes, you can access GPT-OSS models on Hugging Face through their inference provider. This allows you to use the models without downloading them, making it easier for users with less powerful laptops to leverage the capabilities of GPT-OSS.
What are the limitations of using GPT-OSS models locally?
-Running GPT-OSS models locally, especially the larger 12B model, requires significant computational power. Users with less powerful laptops, such as an M3 Pro, may experience slow performance or even system lag. In such cases, using the models through Hugging Face or other online platforms is recommended.
How does the Apache 2.0 license affect the use of GPT-OSS models?
-The Apache 2.0 license allows users to freely build and customize the models without copy-left restrictions or patent risk. This makes it ideal for experimentation and adaptation to specific needs, while also ensuring that users can use the models for various purposes without legal concerns.
What are some practical applications of GPT-OSS models?
-GPT-OSS models can be used for a variety of applications, including text generation, reasoning tasks, and even coding assistance. They are particularly useful for developers who need a local, private AI solution and for businesses looking to leverage AI without incurring additional costs.
How do GPT-OSS models compare to other models like Claude or Gemini?
-While GPT-OSS models offer strong reasoning capabilities, models like Claude and Gemini are often preferred for specific tasks like coding due to their performance and ease of use. However, GPT-OSS models provide a cost-effective and private alternative for local use.
What resources are available for learning more about GPT-OSS models?
-You can refer to the detailed model cards and white papers provided by OpenAI. Additionally, platforms like Hugging Face offer documentation and community support. For practical guidance, resources like the AI Profit Boardroom provide training and templates to help users get started with GPT-OSS and other AI models.
Outlines
💻 Introduction to GPTO OSS and Its Benefits
The speaker introduces GPTO OSS, a newly released open-source AI model that can be hosted for free on a personal laptop. The announcement mentions the release of two models, GPT OS 20B and GPTO OSS 20B, under an Apache 2.0 license, emphasizing advancements in reasoning capabilities and safety. The speaker highlights the benefits of using this model locally, such as offline access and privacy. They also discuss the model's performance compared to other models like GPT-3 and mention that it is available on platforms like Olama and Hugging Face. The speaker provides a detailed walkthrough of downloading and setting up the model on Olama, including using the terminal to run the necessary commands. They also touch on the model's performance on various benchmarks and its potential use cases.
🛠️ Setting Up and Testing the GPTO OSS Model
The speaker demonstrates the process of downloading and setting up the GPTO OSS model on different platforms, including Olama and LM Studio. They show how to download the latest version of Olama for Mac OS and discuss the importance of keeping the software updated. The speaker walks through the steps of installing the model on Olama, highlighting the ease of use and the availability of various models on the platform. They also mention the option to use the model on LM Studio, noting its user-friendly interface. The speaker provides tips on how to run the model locally and discusses the differences between the 12B and 20B versions. They test the model's performance on various tasks, such as reasoning and content generation, and compare its capabilities to other models. The speaker also touches on the model's licensing and customization options.
📊 Performance Evaluation and Practical Testing
The speaker evaluates the performance of the GPTO OSS model through various tests and benchmarks. They discuss the model's reasoning capabilities by testing it with a simple question about the word 'strawberry' and compare its performance to previous versions of chatbots. The speaker also tests the model's ability to generate content for SEO purposes, using a prompt related to SEO training in Japan. They analyze the quality and speed of the generated content, noting that it feels quite human-like and is faster than expected. The speaker delves into the model's performance on more complex tasks, such as coding and reasoning, and compares it to other powerful models like GPT-3. They highlight the model's strengths and limitations, mentioning that while it performs well on certain tasks, it may struggle with more advanced or specialized queries. The speaker also touches on the potential future developments in AI and the impact on various industries.
🌐 Accessing and Using GPTO OSS Through Different Platforms
The speaker explores different ways to access and use the GPTO OSS model, including through Hugging Face, Open Router, and other platforms. They discuss the advantages and disadvantages of using the model locally versus accessing it through cloud-based services. The speaker demonstrates how to use the model on Hugging Face and mentions the availability of various models and inference providers. They also test the model's performance on Open Router, noting some challenges with API streaming and server errors. The speaker provides recommendations on the best models for coding and other tasks, based on their experience. They conclude by promoting the AI Profit Boardroom, a community and resource hub for AI enthusiasts, and offer AI automation sessions for those looking to implement AI solutions in their businesses.
Mindmap
Keywords
💡GPT-OSS
💡Apache 2.0 license
💡Reasoning capabilities
💡Safety
💡Local hosting
💡Offline access
💡Model performance
💡Hugging Face
💡LM Studio
💡AI automation
Highlights
OpenAI has released two open-source models, GPT-OSS 12B and GPT-OSS 20B, under an Apache 2.0 license.
These models can be hosted for free directly on your laptop, offering both reasoning capabilities and safety.
The models were developed with open-source community feedback and deliver meaningful advancements.
The GPT-OSS 12B model achieves near parity with OpenAI's 40B model on core reasoning benchmarks.
The models perform comparably to OpenAI's frontier models on internal safety benchmarks.
Hosting the models locally allows for offline access and ensures data privacy.
The GPT-OSS models are available on platforms like Olama and Hugging Face.
The models are designed for text generation and can be fine-tuned based on parameters.
The 12B model outperforms the 20B model in accuracy on certain benchmarks.
The models can be tested and used on various devices, including MacBook M3 Pro.
The models are available on Hugging Face for free inference, making them accessible without local hosting.
The models can be used for various applications, including SEO content generation.
The models are available on multiple platforms, including LM Studio and Open Router.
The GPT-OSS models are suitable for experimentation and customization due to their open-source nature.
The models can be configured with different reasoning efforts, such as low, medium, and high.
The GPT-OSS models show strong performance in reasoning tasks, comparable to other powerful models.