Hotter than summer LLMs: Llama 3.1, GPT-4o Mini and Mistral Large 2

In today’s edition…

• Learn why Meta’s Llama 3.1 is superior in many benchmarks. Try it for free now.

• GPT-4o mini came out and offers free fine tuning for a limited time.

• Mistral released their most powerful model yet, potentially the best bang for your buck on your business. Try it here.

It was a hot and loaded week in AI, with big releases from Meta, OpenAI and Mistral. We compiled all you need to know with links and resources for you to try them out and expand, as usual. Enjoy this summer treat.

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HOT THIS WEEK

Meta’s Llama 3.1: The Largest Open Source AI Model with Unmatched Capabilities

WHAT’S HOT

Meta is shaking up the AI landscape with the release of Llama 3.1 405B, its most powerful open-source model yet. This AI model boasts an extensive context length of 128K and supports eight languages, setting a new standard for accessible and flexible artificial intelligence for developers.

KEY FEATURES:

- Massive Model Size: Llama 3.1 405B is the largest openly available foundation model, offering advanced capabilities that rival leading closed models like GPT-4o.

- Multilingual Functionality: With support for eight languages, businesses can build multilingual conversational agents and improve global engagement.

- Synthetic Data Generation: The new models streamline synthetic data generation, enhancing the training of smaller models and optimizing data workflows across industries.

- Open Customization: Easily downloadable model weights allow businesses to tailor AI solutions to their specific needs, promoting flexibility in deployment.

- Enhanced Safety Tools: Meta introduces Llama Guard 3 and Prompt Guard to ensure responsible AI development, enabling developers to integrate safety into their applications.

- State-of-the-Art Competitiveness: Evaluated against over 150 benchmark datasets, Llama 3.1 405B shows equivalent performance to leading models like GPT-4 and Claude 3.5 Sonnet.

Practical Information

Llama 3.1 models are available for immediate download on llama.meta.com and Hugging Face, with permissive licensing that allows developers to enhance their own models.

FURTHER READING:

• Request access and download Llama Models.

• Groq open sources Llama-3-Groq-Tool-Use, for function calling.

• Check out partner integrations for API-based access including AWS, Azuere, Databricks and more.

• Try 405B on Meta AI.

GPT-4o Mini: Cost-Effective AI for Enhanced Business Applications and Free Fine-Tuning

WHAT’S HOT

OpenAI has unveiled GPT-4o mini, their most economical small AI model yet. Designed to democratize access to AI, this innovative model offers significantly lower costs, paving the way for a broader range of AI applications across various industries.

KEY FEATURES:

- Unmatched Pricing: Priced at just 15 cents per million input tokens and 60 cents for output, GPT-4o mini is over 60% cheaper than GPT-3.5 Turbo, making it an affordable choice for businesses.

- Multimodal Functionality: Currently supports text and vision inputs, with future enhancements planned for audio and video, allowing for richer, more interactive user experiences.

- Superior Benchmark Performance: Achieved an impressive 82% on the MMLU benchmark, outperforming competitors like Gemini Flash and Claude Haiku, demonstrating its advanced reasoning capacities.

- Function Calling Capabilities: Allows developers to efficiently fetch data or perform tasks with external systems, streamlining application development.

- Robust Safety Measures: Incorporates extensive safety precautions informed by evaluations from over 70 experts, ensuring responsible AI deployment.

PERFORMANCE METRICS:

• MMLU (Textual Intelligence): 82.0%

• MGSM (Math Reasoning): 87.0%

• HumanEval (Coding Performance): 87.2%

• MMMU (Multimodal Reasoning): 59.4%

Practical Information:

GPT-4o mini is now available via the Assistants API, Chat Completions API, and Batch API. Developers can access the model for 15 cents per million input tokens and 60 cents per million output tokens.

Fine-tuning capabilities are rolling out soon. Users of ChatGPT Free, Plus, Team, and Enterprise can start leveraging GPT-4o mini immediately.

GPT-4o mini marks a significant step toward making AI both affordable and powerful for businesses. Get ready to harness the power of this cutting-edge technology and transform how your business communicates and operates!

FURTHER READING:

• Dive into the GPT-4o mini Release Notes

• Learn how GPT-4o mini compares with Previous Models

• Read the fine-tuning docs and fine-tune GPT-4o mini for free

Mistral Large 2: Small Model, Big Impact

Mistral Large 2 was released and offers top-tier performance at a fraction of the cost, democratizing access to advanced AI capabilities for businesses of all sizes, achieving an impressive accuracy of 84.0% on MMLU.

Mistral AI’s models are now available on Vertex AI, in addition to Azure AI Studio, Amazon Bedrock and IBM.

They have also released Codestral Mamba, a language model specialised in code generation available for free use, modification, and distribution with raw weights downloadable from HuggingFace.

CAVEMINDS STRATEGY CURATION

Embracing Open Source AI: The Path to Innovation and Efficiency

Imagine a world where cutting-edge technology isn't locked away behind corporate walls but is accessible to everyone. That's the promise of open source, and what Meta is betting on.

Let’s explore some key themes around open source AI development that could reshape your organization.

Unlock Cost Savings with Open Source AI

One of Zuck’s main bets is that organizations are going to use open sourced models like Llama 3.1 to train smaller, internal models, enjoying about 50% lower costs compared to closed models like GPT-4o.

How much could you save if you redirected those funds into innovation or talent?

Transform Your AI Strategies Through Customization

Every business has unique needs, and open source models offer the flexibility to meet them. With Llama, you can train and fine-tune AI models using your own data, ensuring they’re tailored to your specific operational requirements.

What difference would it make if your AI understood your business's nuances? Leverage customization and you can amplify an AI's relevance for your organization.

Protect Your Sensitive Data

One of the highlights that open source models enable organizations, is to run AI locally, meaning you don't have to share sensitive data with third-party providers.

Imagine how confident you could feel knowing your data is protected by running AI on your terms. What starts as a good practice rapidly turns into a strategic advantage.

Join an Expanding Competitive Ecosystem

By deploying Llama 3.1, you tap into a flourishing ecosystem of tools and support from partners such as Amazon, NVIDIA, and Databricks. These collaborations enhance your AI capabilities and innovation potential.

Capitalize on Economic Growth Opportunities

The adoption of open source AI has the potential to create significant economic opportunities, particularly for startups and SMEs looking to leverage advanced technologies.

The door to growth is wide open; it’s time to walk through.

What This Means for You

- Evaluate Llama 3.1: Consider conducting a cost analysis to see the savings you could achieve by switching to Llama 3.1.

- Customize Your Approach: Think about your organization’s unique needs and how fine-tuning open source models could meet them.

- Collaborate and Connect: Look for opportunities to engage with other businesses and developers in the open-source community.

BUSINESS EDGE

Deploying Llama 3.1 405B: The Cloud Advantage

The opportunities for deploying Llama 3.1 405B across cloud platforms like AWS, Azure, and Google Cloud offer immediate benefits to businesses looking to enhance their AI capabilities without heavy infrastructure investments.

⚒️ PUT IT IN ACTION

- Choose Your Platform: Begin by selecting a cloud provider (AWS, Azure, or Google Cloud) that aligns with your current business needs. For instance, AWS offers Amazon Bedrock for streamlined applications, while Azure provides integration with existing tools in AI Studio.

- For AWS: Use the Amazon Bedrock Console for one-click deployment.

- For Google Cloud: Access the Vertex AI Model Garden to experiment with pre-trained models.

- For Azure: Utilize Azure AI Studio to deploy and fine-tune your models easily.

- Evaluate Performance: After deployment, assess model performance through A/B testing and adjust parameters as necessary using built-in tools offered by these platforms.

Thanks for reading! Until next one.

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