#47 MLFlow, Llama 3 Unleashed, and the OpenTofu vs. Terraform Drama

DataTopics Unplugged

Welcome to the cozy corner of the tech world where ones and zeros mingle with casual chit-chat. Datatopics Unplugged is your go-to spot for relaxed discussions around tech, news, data, and society.
Dive into conversations that should flow as smoothly as your morning coffee (but don't), where industry insights meet laid-back banter. Whether you're a data aficionado
or just someone curious about the digital age, pull up a chair, relax, and let's get into the heart of data, unplugged style!
In this episode, we're joined by special guest Vitale Sparacello, an MLflow Ambassador, to delve into a myriad of topics shaping the current and future landscape of AI and software development:

• MLflow Deep Dive: Exploring the MLflow Ambassador program, MLflow's role in promoting MLOps practices, and its expansion to support generative AI technologies.
• Introducing Llama 3: Discussing Meta's newest language model, Llama 3, its capabilities, and the nuanced policy of its distribution, featured on platforms like Groq. Read more here.
• Emerging AI Tools: Evaluating Open-Parse for advanced text parsing and debating the longevity of PDF documents in the age of advanced AI technologies.
• OpenTofu vs. Terraform Drama: Analyzing the ongoing legal dispute between Terraform and OpenTofu, with discussions around code ethics and links to OpenTofu's LinkedIn, and their official blog response.
• The Future of AI Devices: Are smartphones the endgame, or is there a future for specialized AI wearables? Speculating on the evolution of AI devices, focusing on the Human AI Pin review, Rabbit R1 and Dot Computer

Go check out the Youtube video after so you don't miss out Murilo in that suit he promised (with a duck tie of course).

Chapters

1. #47 MLFlow, Llama 3 Unleashed, and the OpenTofu vs. Terraform Drama (00:00:00)

2. MLflow Ambassadors Discuss ML Ops (00:00:02)

3. Casual Conversation About Openly Available LLM (00:10:08)

4. Shift to Metaverse and Apple Vision (00:22:49)

5. PDF Text Chunking in Python (00:27:12)

6. Discussion on Text Processing Efficiency (00:34:51)

7. Open Tofu and Terraform Comparison (00:41:53)

8. Future of AI Gadgets (00:50:29)

9. Future of AI Gadgets Without Phones (00:54:42)

10. Software and Data Topics Podcast (01:02:13)