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💡 Prompt Engineering - Example-Based Prompts

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💡 Prompt Engineering - Example-Based Prompts

This article discusses the effectiveness of using examples instead of lengthy explanations when prompting Large Language Models (LLMs). It suggests that providing examples leverages the model's training data more efficiently.

Key Points:

• Avoid verbose prompt explanations.

• LLMs are trained on vast datasets; they likely already "know" the context.

• Focus on providing illustrative examples for desired output.

🔗 Resources:

Samuel Woods ↗ - LLM prompting advice


🤖 Local Voice AI - M1 Implementation

This article details the implementation of a local voice AI system on an Apple M1 chip with limited RAM, utilizing five neural networks. The system features neural-based voice activity and turn detection.

Key Points:

• Completely local voice AI, requiring no internet connection.

• Operates flawlessly on an M1 chip with only 16GB of RAM.

• Utilizes five neural networks for various functionalities.

• Interruptible but avoids interrupting the user.

🚀 Implementation:

  1. Implement Neural Networks: Develop five neural networks for voice activity detection, turn detection, speech recognition, natural language processing and text-to-speech.
  2. Optimize for Resource Constraints: Fine-tune the neural networks to minimize RAM usage.
  3. Integrate Components: Combine the neural networks to create a functional voice AI system.
  4. Test and Refine: Test the system thoroughly and adjust parameters as needed.

🔗 Resources:

Nate Siggard ↗ - Developer of the system

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💡 Business - Long-Term Value

This article highlights the importance of providing valuable advice and solving client problems over focusing solely on closing deals and adding features.

Key Points:

• High-quality advice is memorable and builds lasting client relationships.

• Prioritize addressing client needs over showcasing new features.

• Demonstrating care fosters stronger relationships than solely pursuing sales.

🔗 Resources:

Harsh Makadia ↗ - Business advice


💡 Economics - Air Canada Strike Impact

This article discusses the significant impact of the Air Canada strike, highlighting the unforeseen consequences of industrial action.

Key Points:

• Demonstrates the substantial influence a single airline can have on a nation's economy.

• Underscores the necessity for fair wages while acknowledging the negative ramifications of widespread disruption.

🔗 Resources:

Jacob Sklug ↗ - Analysis of the strike's impact
Mark Hancock CUPE ↗ - CUPE representative


🚀 Technology - Podcast on Tech Trends

This article summarizes a podcast episode featuring discussions on various technology companies and trends, including AI, and semiconductor industries.

Key Points:

• Analysis of GPT-5 and its implications.

• Discussion on the economic factors driving AI development.

• Advice for Sam Altman, CEO of OpenAI.

• Assessment of Nvidia's growth and potential threats.

🔗 Resources:

Dylan Patel ↗ - Podcast guest
Erik Torenberg ↗ - Podcast host

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🤖 RAG - Data Preparation with TensorLake

This article introduces TensorLake, a tool designed to efficiently prepare unstructured data for Retrieval Augmented Generation (RAG) systems.

Key Points:

• Transforms unstructured documents into RAG-ready data with minimal code.

• Extracts structured information, bounding boxes, and document layouts.

• Handles complex layouts, handwritten documents, and multilingual data.

🔗 Resources:

TensorLake ↗ - RAG data preparation tool
Avi Chawla ↗ - Discussion of TensorLake


🚀 Business - Client Acquisition Success

This article describes a significant business milestone: securing a large client and exceeding a projected annual recurring revenue (MRR) goal.

Key Points:

• Securing a $30,000 single-project client.

• Exceeding the 2025 MRR goal with a single deal.

• Establishing a long-term relationship beyond a one-time project.

🔗 Resources:

Ignytlabs ↗ - Partner company
Prajwal Tomar ↗ - Details on success

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🤖 AI Research - Hierarchical Reasoning Model

This article highlights a blog post and presentation on a Hierarchical Reasoning Model, emphasizing the importance of disseminating internal research findings publicly.

Key Points:

• Features a presentation on a Hierarchical Reasoning Model.

• Highlights the value of sharing internal research externally.

• Showcases the work of the researcher, K. Schuerholt.

🔗 Resources:

Greg Kamradt ↗ - Discussion of the research
K. Schuerholt ↗ - Researcher

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🚀 Video Production - AI-Assisted Short Film

This article discusses the creation of a short film using only one image and eight templates in Higgsfield AI, exploring the use of AI in streamlining video production.

Key Points:

• A short film created using a single image and eight templates.

• Highlights the potential and limitations of AI-assisted video creation.

• Explores the balance between efficient workflows and creative freedom.

🔗 Resources:

Higgsfield AI ↗ - AI video generation tool
Louie Pecan ↗ - Discussion of AI in video

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🚀 Blockchain - Aptos Hackathon 2025

This article summarizes the Aptos x GMVN Hackathon 2025, celebrating the winners and participants.

Key Points:

• Highlights the success of the Aptos x GMVN Hackathon 2025.

• Congratulates the winners and acknowledges all participants.

🔗 Resources:

Aptos ↗ - Blockchain platform
GMVN ↗ - Hackathon organizer

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Drix10
Written by Drix10

Co founder @ PartPilot | 1 x Acquired Founder | Canopy @ f.inc | Cybersec @ DSU | 2x International Hackathon 🏆. Read more on drix10.com.