🟠A tool better than ChatGPT
OpenAI has led the LLM field recently. However, Anthropic's new Claude 3.5 model is worth considering. Here's why I think you should switch.
P.S. Wondering about Mach8? Keep wondering. All will become clear in a few months.
Watch it as a video or listen to it on Spotify
Switch to Claude 3.5 Sonnet
Claude is a model by Anthropic, an OpenAI competitor founded by former OpenAI employees. They recently launched their best model to date, Claude 3.5 Sonnet, which is reportedly better than your beloved ChatGPT. Let's explore why you might consider switching:
Enhanced Chat Interface
Claud 3.5 Sonnet now introduces a feature named "Artifacts." This feature adds a secondary window adjacent to your chat, which displays generated code and visuals in real-time.
A Step Ahead of ChatGPT?
Benchmarks indicate that this model surpasses ChatGPT in performance. However, real-world application often provides a more accurate measure of an AI model’s effectiveness.
I decided to "hire" Claude after reading so much praise about 3.5 Sonnet for coding, and man, it's not just hype. Claude is so much better than ChatGPT right now, at least for my use case
By: “some random Reddit user with a lot of upvotes“
In my own experience, Claude also excels as a copywriter, steering clear of the typical “AI” style that has become all too familiar.
Experience it yourself for free! Don't forget to activate the Artifacts feature in the settings
Uploading images and documents:
The latest update to Claud 3.5 Sonnet now supports file uploads, enabling the generation of presentations and graphs. This enhancement significantly streamlines workflows.
NVIDIA’s open-source Nemotron LLM’s
NVIDIA, a company valued at over $3 trillion, has introduced its own family of open-source Large Language Models (LLMs) called Nemotron. This new suite competes with models such as Llama and Mistral and includes base models, instruction models, and reward models.
Fine-tuning with synthetic data (Only for real nerds)
This release targets the community interested in customizing their own models with fine-tuning:
Base Model: This foundational model is trained in a general manner, making it adaptable for subsequent fine-tuning with your specific dataset.
Instruction Model: Aimed at mimicking human intelligence, this model handles specific instructions and questions. It is very similar to models like GPT-4 and Gemini 1.5.
Reward Model: This model evaluates AI-generated responses based on several quality attributes: helpfulness, correctness, coherence, complexity, and verbosity.
By integrating these models, you can create a synthetic "human" feedback loop. This system allows for the fine-tuning of AI models to better manage specific scenarios, all at a fraction of the cost.
Good case study about fine-tuning with synthetic data
The "Smartest" Open-Source Model to Date
In addition to being highly adaptable for fine-tuning, Nemotron introduces the "smartest" open-source model to date with the Nemotron-4-340B Instruct. This model stands out as both open-source and user-friendly, accessible through the NVIDIA build platform. This platform offers both the reward and instruct models for free use, providing a robust toolset for developers looking to leverage cutting-edge AI capabilities.
AI-Enabled Note-Taking with Google
Google offers a suite of experimental tools designed to enhance daily tasks and add a bit of fun to your routine. If you haven't explored these yet, it's worth taking a look. Among these innovative tools, one standout is the NotebookLM tool. This tool specifically enhances the experience of conducting online research, making it both easier and more enjoyable.
If you're engaged in online research, consider giving it a try. It conveniently saves all your PDFs, websites, and documents, allowing you to ask questions and significantly streamline your research process, saving you a lot of time.
