Bringing Together The World's Best AI Tools For Academic Learning And Research.
Joined September 2023
- Tweets1.1K
- Following399
- Followers22
- Likes1K
AI Learning Tools retweeted
The Grok 4.2 release candidate (public beta) is now available for use. You need to select it specifically.
Critical feedback is appreciated. Unlike prior versions of Grok, 4.2 is able to learn rapidly, so there will be improvements every week with release notes.
AI Learning Tools retweeted
Crowdstrike Analysis:
It was a NULL pointer from the memory unsafe C++ language.
Since I am a professional C++ programmer, let me decode this stack trace dump for you.
AI Learning Tools retweeted
The Power of Prompt Engineering
Prompt engineering has evolved considerably over the last year. It's become a legit profession, with several real engineers specializing in the area and others writing research papers!
This is a good survey paper that outlines all the different types of prompt engineering (link in alt)
Prompting Strategies: Various prompting strategies are discussed, including but not limited to:
Chain of Thought (CoT)
Chain of Cause (CoC)
Program-Aided Language models (PAL)
Tree of Thoughts (ToT)
Least-to-Most
Self-Consistency
Analogical Reasoning
It's incredible how much you can do with an LLM if you understand these prompting strategies and apply them appropriately based on the suitable dataset and use-cases
ALT https://arxiv.org/pdf/2407.12994
AI Learning Tools retweeted
The year was 1998, Motocross Madness.
What memories does this bring back?
AI Learning Tools retweeted
𝗔𝗣𝗜 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗖𝗵𝗲𝗰𝗸𝗹𝗶𝘀𝘁
Checklist the most critical security countermeasures when designing, testing, and releasing your API in different categories, such as:
🔹 Authentication
🔹 Authorization
🔹 JWT
🔹 Access
🔹 CI & CD
And more.
Link: github.com/shieldfy/API-Secu…
#api #apidesign
AI Learning Tools retweeted
We trained advanced language models to generate text that weaker models can easily verify, and found it also made these texts easier for human evaluation.
This research could help AI systems be more verifiable and trustworthy in the real world. openai.com/index/prover-veri…
AI Learning Tools retweeted
What is a deadlock?
A deadlock occurs when two or more processes are waiting for each other to release resources they need to continue. This results in a situation where none of the processes can proceed, and they end up waiting indefinitely.
🔹 Coffman Conditions
The Coffman conditions, named after Edward G. Coffman, Jr., who first described them in 1971, outline four necessary conditions that must all be present for a deadlock to occur:
- Mutual Exclusion: Resources cannot be shared simultaneously
- Hold and Wait: Processes hold resources while waiting for others
- No Preemption: Resources cannot be forcibly taken away
- Circular Wait: A circular chain of processes, each waiting for a resource held by the next
🔹 Deadlock Prevention
- Resource ordering: Require processes to request resources in a specific order
- Timeouts: Set time limits for resource usage to prevent indefinite holds
- Banker's Algorithm: A method that checks if granting a resource request would lead to a safe state
🔹 Deadlock Recovery
- Selecting a victim: Choose one or more processes to terminate or roll back
- Rollback: Undo the actions of the selected process(es) to free up resources
Have you encountered any challenging deadlock situations? How did you resolve them?
–
Subscribe to our weekly newsletter to get a Free System Design PDF (158 pages): bit.ly/496keA7
AI Learning Tools retweeted
State of AI today....
Professions replaced by AI
- audiobook readers
- simple report creators
- some customer service agents
Professions super-charged by AI
- writers
- marketers
- engineers
- lawyers
- procurement and operations
- artists and designers
- video and filmmakers
AI Learning Tools retweeted
𝗪𝗵𝗮𝘁 𝗮𝗿𝗲 𝘁𝗵𝗲 𝗺𝗮𝗶𝗻 𝗔𝗣𝗜 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗮𝗹 𝗦𝘁𝘆𝗹𝗲𝘀?
Various API architectural styles have emerged in web development and software integration to address different needs and use cases. When designing an API, the architectural style is crucial in determining its functionality, efficiency, and usability.
Here's an overview of the top 6 API architectural styles:
𝟭. 𝗦𝗢𝗔𝗣 is a protocol for exchanging structured information to implement web services. It was developed by Microsoft in 1998 as an evolution of XML-RPC. It uses XML for message format and relies on application layer protocols, primarily HTTP or SMTP, for message negotiation and transmission.
𝟮. 𝗥𝗘𝗦𝗧 (𝗥𝗲𝗽𝗿𝗲𝘀𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗦𝘁𝗮𝘁𝗲 𝗧𝗿𝗮𝗻𝘀𝗳𝗲𝗿) is a stateless architectural style that uses standard HTTP methods (GET, POST, PUT, DELETE). It is based on resources identified by a URL and supports various data formats, including JSON and XML. Today, it is a standard protocol for APIs, offering a reliable and efficient solution for many use cases.
𝟯. 𝗚𝗿𝗮𝗽𝗵𝗤𝗟 is a query language for your API and a server-side runtime for executing queries using a type system you define for your data. It allows clients to request only the needed data, reducing the amount transferred over the network. An example of usage is in mobile apps to efficiently fetch product data, including only the fields they need for display.
𝟰. 𝗴𝗥𝗣𝗖 is a high-performance, open-source framework developed by Google that uses HTTP/2 for transport and Protocol Buffers (protobuf) as the interface description language. It provides authentication, load balancing, and other features. It leverages HTTP/2 for multiplexing and efficient binary serialization via Protocol Buffers.
𝟱. 𝗪𝗲𝗯𝗦𝗼𝗰𝗸𝗲𝘁 protocol provides full-duplex communication channels over a single, long-lived connection, allowing real-time data transfer between a client and a server. Its real-time capabilities make it an exciting solution for applications that require instant data synchronization. It was developed to address the limitations of HTTP for real-time, bidirectional communication, which often relied on inefficient polling techniques. An example of its usage is a real-time collaborative document editing application that might use WebSockets to synchronize changes between multiple users instantly.
𝟲. 𝗪𝗲𝗯𝗵𝗼𝗼𝗸𝘀 are user-defined HTTP callbacks triggered by specific events. Unlike traditional APIs, where the client requests data, a webhook sends data to a client when an event occurs. This user-driven functionality makes webhooks a powerful tool for integrating systems and providing real-time notifications. Webhooks gained widespread adoption in the early 2010s as more services began to offer them to empower users to create their integrations and receive real-time notifications.
#softwareengineering #programming #api
AI Learning Tools retweeted
Data Analysis Tool of the Week
This Data Analysis Tool is gaining prevalence for its integration with the Google Ecosystem:
Looker is a powerful data analysis and business intelligence (BI) tool that enables companies to explore, analyze, and share real-time business analytics easily.
It provides a user-friendly interface for creating dynamic and interactive dashboards, making data visualization more accessible.
Looker's unique modeling language, LookML, allows data teams to define and manage data relationships, ensuring consistent metrics and definitions across the organization.
Additionally, it integrates seamlessly with various databases and supports collaborative data analysis, helping teams make data-driven decisions more effectively.
Overall, Looker simplifies complex data workflows and empowers users with actionable insights.
Have you used Looker? Whats your thoughts on it?
AI Learning Tools retweeted
100 AI Tools to replace your tedious work:
1. Research
- ChatGPT
- YouChat
- Abacus
- Perplexity
- Copilot
- Gemini
2. Image
- Fotor
- Stability AI
- Midjourney
- Microsoft Designer
3. CopyWriting
- Rytr
- Copy AI
- Writesonic
- Adcreative AI
4. Writing
- Jasper
- HIX AI
- Jenny AI
- Textblaze
- Quillbot
5. Website
- 10Web
- Durable
- Framer
- Style AI
6. Video
- Klap
- Opus
- Eightify
- InVideo
- HeyGen
- Runway
- ImgCreator AI
- Morphstudio .xyz
7. Meeting
- Tldv
- Otter
- Noty AI
- Fireflies
8. SEO
- VidIQ
- Seona AI
- BlogSEO
- Keywrds ai
9. Chatbot
- Droxy
- Chatbase
- Mutual info
- Chatsimple
10. Presentation
- Decktopus
- Slides AI
- Gamma AI
- Designs AI
- Beautiful AI
11. Automation
- Make
- Zapier
- Xembly
- Bardeen
12. Prompts
- FlowGPT
- Alicent AI
- PromptBox
- Promptbase
- Snack Prompt
13. UI/UX
- Figma
- Uizard
- UiMagic
- Photoshop
14. Design
- Canva
- Flair AI
- Designify
- Clipdrop
- Autodraw
- Magician design
15. Logo Generator
- Looka
- Designs AI
- Brandmark
- Stockimg AI
- Namecheap
16. Audio
- Lovo ai
- Eleven labs
- Songburst AI
- Adobe Podcast
17. Marketing
- Pencil
- Ai-Ads
- AdCopy
- Simplified
- AdCreative
18. Startup
- Tome
- Ideas AI
- Namelix
- Pitchgrade
- Validator AI
19. Productivity
- Merlin
- Tinywow
- Notion AI
- Adobe Sensei
- Personal AI
20. Social media management
- Tapilo
- Typefully
- Hypefury
- TweetHunter
Follow @heyabhishek for more AI content
AI Learning Tools retweeted
Top 6 Tools to Turn Code into Beautiful Diagrams
- Diagrams
- Go Diagrams
- Mermaid
- PlantUML
- ASCII diagrams
- Markmap
Did we miss anything? What's your favorite?
–
Subscribe to our weekly newsletter to get a Free System Design PDF (158 pages): bit.ly/496keA7
AI Learning Tools retweeted
Iterative, Agile, Waterfall, Spiral Model, RAD Model... What are the differences?
The Software Development Life Cycle (SDLC) is a framework that outlines the process of developing software in a systematic way. Here are some of the most common ones:
1 - Waterfall Model:
- A linear and sequential approach.
- Divides the project into distinct phases: Requirements, Design, Implementation, Verification, and Maintenance.
2 - Agile Model:
- Development is done in small, manageable increments called sprints.
- Common Agile methodologies include Scrum, Kanban, and Extreme Programming (XP).
3 - V-Model (Validation and Verification Model):
- An extension of the Waterfall model.
- Each development phase is associated with a testing phase, forming a V shape.
4 - Iterative Model:
- Focuses on building a system incrementally.
- Each iteration builds upon the previous one until the final product is achieved.
5 - Spiral Model:
- Combines iterative development with systematic aspects of the Waterfall model.
- Each cycle involves planning, risk analysis, engineering, and evaluation.
6 - Big Bang Model:
- All coding is done with minimal planning, and the entire software is integrated and tested at once.
7 - RAD Model (Rapid Application Development):
- Emphasizes rapid prototyping and quick feedback.
- Focuses on quick development and delivery.
8 - Incremental Model:
- The product is designed, implemented, and tested incrementally until the product is finished.
Each of these models has its advantages and disadvantages, and the choice of which to use often depends on the specific requirements and constraints of the project at hand.
AI Learning Tools retweeted
Terraform explained.
Terraform is an open-source innovation from HashiCorp that is changing infrastructure management.
It enables developers to use a high-level configuration language for infrastructure management, paving the way for quicker, automated deployments.
Infrastructure as Code (IaC) is more than an option; it's an essential requirement for flexible, modern development processes.
How Terraform works:
Developers create configurations to define the desired infrastructure state, utilize planning to assess the effect of changes, and then apply to put those changes into action.
State files are critical for keeping track of the infrastructure's state and coordinating resource interconnections.
This careful procedure helps ensure that infrastructure improvements are both secure and predictable.
Key features of Terraform include:
🔹 Infrastructure as code — it shifts infrastructure management into the domain of code, promoting efficiency and enabling version control.
🔹 Execution plans — before any change takes effect, Terraform offers a preview, adding a layer of predictability.
🔹 Resource graph — this visual tool maps out dependencies between resources, guiding safe and coherent changes.
🔹 Change automation — by automating deployments, Terraform reduces the chance of human error.
These characteristics work together to create a development environment that prioritizes automation, consistency, and efficient infrastructure handling.
Terraform vs other IaC tools:
Terraform's flexibility exceeds that of tools such as AWS CloudFormation, which is restricted to Amazon's environment, or Ansible, which focuses on configuration management.
It maintains many cloud services and infrastructure, providing a uniform, version-controlled overview of infrastructure across several platforms.
Terraform bridges the gap between development and operations, facilitating seamless infrastructure updates. It simplifies infrastructure management while increasing efficiency, predictability, and scalability.
~~
Thank you to our partner Kickresume who keeps our content free to the community.
Did you know you can turn your LinkedIn into a resume with one click?
Check it out: drp.li/linkedin-to-resume-xt
AI Learning Tools retweeted
After almost a decade, I have made the decision to leave OpenAI. The company’s trajectory has been nothing short of miraculous, and I’m confident that OpenAI will build AGI that is both safe and beneficial under the leadership of @sama, @gdb, @miramurati and now, under the excellent research leadership of @merettm. It was an honor and a privilege to have worked together, and I will miss everyone dearly. So long, and thanks for everything. I am excited for what comes next — a project that is very personally meaningful to me about which I will share details in due time.
