วันอังคารที่ 30 มกราคม พ.ศ. 2567

Create custom GPT

 https://zapier.com/blog/custom-chatgpt/

https://openai.com/blog/introducing-gpts

Create chatbot with chatgpt:

https://www.freecodecamp.org/news/how-to-create-a-chatbot-with-the-chatgpt-api/

https://thaikeras.com/community/main-forum/chatbot/

https://www.chatbase.co/blog/how-to-train-chatgpt-with-your-data

https://requestum.com/blog/how-to-train-chatgpt-on-custom-data

=============

https://openai.com/index/openai-api/























Python library for ChatGPT:


ChatGPT vs Bard

 https://zapier.com/blog/chatgpt-vs-bard/


วันจันทร์ที่ 29 มกราคม พ.ศ. 2567

วันอาทิตย์ที่ 28 มกราคม พ.ศ. 2567

Probability distribution : PMF vs CDF vs PDF

คือการกระจายตัวของค่าความน่าจะเป็นตามจำนวนข้อมูลที่มีโอกาสเกิดตามความน่าจะเป็นแต่ละค่า

https://medium.com/probablity-and-statistics-for-data-science/probability-distributions-5f457cde025e









In the picture, Y-axis in the normal distribution represents the "density of probability." Intuitively, it shows the chance of obtaining values near corresponding points on the X-axis.

The area under the curve between two X values tells the probability (or percent frequency) of variables taking on a range of the values.

Probability mass function vs probability density function 






















The Cumulative Distribution Function (CDF) of a random variable X, denoted as F(x), is defined as the probability that X takes on a value less than or equal to x.

F(x)=P(Xx)

This function gives us the cumulative probability up to a certain point x.












  • PMF (Probability Mass Function): This is used for discrete random variables. The PMF gives the probability that a discrete random variable takes on a specific value. For example, if you're rolling a six-sided die, the PMF would tell you the probability of rolling any particular number (e.g., P(X=3)=16P(X = 3) = \frac{1}{6}).

  • PDF (Probability Density Function): This is used for continuous random variables. Unlike the PMF, the PDF does not give the probability of the random variable taking on a specific value (since that probability is technically 0 for continuous variables). Instead, the PDF describes the relative likelihood that the random variable falls within a particular range of values. The area under the PDF curve over an interval gives the probability that the random variable falls within that interval.

In summary:

  • PMF is for discrete variables and provides the probability of exact outcomes.
  • PDF is for continuous variables and provides a density function, where probabilities are found by integrating over an interval.

Top 12 clustering algorithms

 https://insights.daffodilsw.com/blog/top-5-clustering-algorithms-in-machine-learning

วันพฤหัสบดีที่ 18 มกราคม พ.ศ. 2567

SDN vs NFV

SDN makes the network programmable by separating the control plane (routing process) from the underlying data plane (forwarding hardware).  

NFV virtualizes functions like load balancing, routing (similar to SDN, relying on no virtualization), and policy management by transferring network functions from dedicated appliances to virtual servers.

https://www.geeksforgeeks.org/difference-between-sdn-and-nfv/

https://info.support.huawei.com/info-finder/encyclopedia/en/NFV.html

Midjourney

Midjourney is a generative AI program and service created for generating images from natural language descriptions, called prompts.

 https://thethaiger.com/th/news/618437/?fbclid=IwAR0kNfYfIhbKRf4BjraRNKSvg6jLqa_v8snVZalXiS5ATfD4cCANJthtnx4

Guideline to use Google bard effectively

 



วันพุธที่ 17 มกราคม พ.ศ. 2567

SASE, SSE, CASB










https://golden.com/wiki/Security_Service_Edge-5ZBRXP5

Skyhigh CASB (leader in CASB magic quadrant)
Netskope (leader in SSE magic quadrant)

MITRE ATT&CK

Stands for Adversarial Tactics, Techniques, and Common Knowledge developed by MITRE company.

A globally-accessible knowledge base of adversary tactics and techniques based on real-world observations

 https://attack.mitre.org/