Pastor Paul Enenche is fearless. He reminds me of Old Testament prophets that spoke truth to power. The prophets of old were no cowards.
They looked evil in the eye wherever they went:
Nathan challenged King David.
St. Paul challenged Emperor Nero.
St. Peter challenged Emperor Nero.
Amos challenged King Jeroboam II.
Moses challenged Pharaoh Ramses II.
Isaiah challenged Ahaz & Hezekia in Judah.
Daniel was up against King Darius of Persia.
Elijah & Jehoiada challenged Queen Athaliah.
Jeremiah dared Kings Jehoiakim & Zedekiah.
Elijah challenged King Ahab & Queen Jezebel.
Hosea clashed with corrupt leaders in Samaria.
Jonah clashed with Assyrian Empire in Nineveh.
And these are just some of the few examples.
Citizens can cower, but men of God must be fearless. Why? Because it is righteousness that exalts a nation. When nations were challenged, it was fearless men of God that led the way.
In many cases, their courage led to the downfall of evil, & the people were freed from bondage.
Prophets of old were never in bed with authorities. They spoke truth to power & authorities trembled. They challenged kings & rulers over idolatry, corruption, & social injustices. Many paid with their lives.
They were martyred for the Gospel to spread to all corners of the earth. Pastor Paul Enenche spoke courageously like a prophet of old.
Brethren, this is no ordinary message!
Gloria Patri: “As it was in the beginning, is now, & ever shall be, world without end, amen!”
Speak Lord, your children are listening. ✊
Olumide is rich, a proper nepo baby, yet he still sees APC for what they are. Meanwhile, you that can barely eat daily still support them, either out of tribal bias or because the president is Yoruba.
I pity you gan o 👍
My iPhone went missing from my desk. 10 minutes later, I got a notification on my iPad. There was a photo of a stranger holding my iPhone. His expression was panicked. He didn’t know he was being photographed. This isn’t magic. iPhones have a feature that automatically does this if stolen.
And you can activate it now:
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While Nigerians slept, President Trump & The Department of War neutralized ISIS scumbags operating in North West Nigeria. This was Classic 47 Hitman moves. While everyone slept, hellraiser opened the gates of hell 🚀🔥
What the f*ck is a RAG ?
I know you might have heard about RAGs and how almost every company wants to build a RAG, calm down, let me explain 👇🏽
Imagine you are in a history class, and you have your history teacher there, and you have this book about Genghis Khan you have been reading for a while and you actually wanted to know about some specific implication of Genghis Khans invasion of a particular village that was mentioned in that book, right ?
And now you ask your history teacher about Genghis Khan, and he just starts going off and telling you things about Genghis Khan and how he lived his life in general and all that. But you want some specific information which your teacher isn’t mentioning, now you ask him specifically about Genghis Khans invasions, but he doesn’t know which one you are talking about (and it’s because the book you read was published a year ago and your teacher hasn’t read it), but your teacher knows a lot about Genghis Khan
So what do you do?
You give him some information from the book you just read, and you then ask him about Genghis Khans invasions, with respect to the information you just gave him.
And now your teacher can answer your question and give you even more details about all the finesse that were not contained in the book.
In this case, your history teacher was the LLM, the book you read was the RAG system, and you are the user.
A RAG system is more like a database of vectorized (embedded ) information, that your LLM doesn’t have access to (due to the possible makeup of its training information), these could be internal documents, recent publications, news articles, private research papers, etc.
They serve to give particular context to a users query so that the LLM can be better positioned to have an almost factually correct response to the users input.
Thanks for listening to me yap
I’m Isaac
Let’s talk about how CHATGPT and Claude actually understand what you are saying 😁
When you say “what is a noun? “, your computer doesn’t understand English. So what does it do, it converts this into a vector representation.
Stay with me now, let me explain what that means.
Imagine the way we convert words into signs to aid those with a hearing disability. These signs do not seem comprehensible but they represent words with meaning. And similar to how we see some signs that look similar also represent words with similar meaning, that’s how word vectorization for computers work.
In mathematics, information is passed as 1s and 0s. So in mathematics, information is stored and located in space as a point and each point contains vital information about the data it represents.
In maths, vectors are more likened to arrows with dimensions and magnitudes but in the digital space, because they operate in a multi dimensional space, it’s not as linear as it is in math.
A vector embedding of a word is more likened to a collection of numbers that point to the exact location of the point that represents that word.
Cat would look something like this:
[0.9, 0.2, 0.7, 0.3 ………. 0.8]
These points are representative of how a word’s meaning relates with itself and to others too. That is why words similar in meaning can be found close to each other in the vector space.
The Algorithm takes these points, locates the position of the word in the vector space and relates the meaning of the information it represents, that’s what forms the context of your input to the machine.
I’m Isaac
See you tomorrow