Just 3 days ago I had an idea to build an AI project to help me summarize 4 books a week before school starts. 2 days ago I started researching libraries, methods to get concise data without hallucinations. I was progressing but not a single video was up to date or taught what I needed. It started stressing me out. Then I found your channel. Just when I needed it you uploaded exactly what I searched for. I don't have the words to describe what a change you were to me and only because of this video I want to keep tinkering with LLM's. You are a legend who changed a 16 year old's mind about developing with AI and just gained a new patreon and I've never paid for Patreon. I look forward to watching your other videos.
Thanks for boiling this down to the main components and how they can come together to make a solution. Its a great foundation to start with, many of the videos I have seen have focused on all kinds of different tooling and its hard to know what aspects are essential.
Thank you for providing playlist to learn this. Very helpful how you explain things. Always looking forward to your training series. Keep up the good work Matt!
Hi Matt. I always upvote your videos. It comes in mind two possible topics for future course deepenings: 1. comparison benchmark /even if qualitative) among different size of the same model, different quantization and different context window size expaining the HW respopurces trade-offs. 2: using various RAG techniques to memorize chat conversations for a sort of "long term memory" (that's indeed a very general usage). Just ideas. Thanks for all
It's such a breeze to find your channel, a lot of influencer noise about such topics, make it challenging to find quality material. I came in to try to answer a question, which you pointed at, at the end of the video. How do the pre-made RAG solutions compare to each other, and to the DIY one. Off course building your own, comes with the gift of knowledge of how things work, and eventually better understanding and implementing them, fixing problems when found ....etc. My perspective if it helps: the topic has many choice points, and it can get easily overwhelming for someone of humble knowledge, and what really help is to know for someone such as yourself, why choose this over that, or what is the balance to look for? for example why choose this embedding model ? If epub is better than PDF for the task, should we try to convert it first, to get better text content from PDFs ? Will it be helpful to rank the text extraction part before deciding to feed it to the model (what I mean is that PDFs have very much varying degrees of readability)? I'm just thinking out-loud at this point :D Lastly, thank you and looking forward to the next video.
1- You forgot to drink... It is important to keep hydrated.🧐 2- I prefer ready solutions especially those that give complete choices and options (Hybrid RAG with graph knowledge)💥 Thanks for the good content 🌹
This was great, but... (There’s always a “but,” isn’t there?) I’m building a RAG system (using ollama for embedding and querying) at the moment and the hard part isn’t the RAG. It’s getting the text in the first place from PDF, MSG (including direct attachments and nested email chains), DOC[X], HTML etc. Do you have any recommendations for tooling in this arena?
Nice videos, clearly explained in plain English. A couple of questions: why are you using different models to get the rag and non-rag respose?. And why using ollama to get the embeddings instead of leveraging the chroma embedding feature?. Thanks for sharing your expertise
dear Matt, could you please make practical videos, i kept watching several videos from you but never got to the point where i get things working. please mix you videos between lecturing and practical guides step by step so we all can benifit
There is a lot of that on this channel. And will be more too
9 дней назад
When having bad results, I can"t decide if it's because of my chunking or because the data is in French. But I can't easily find models for embedding French texts.
I was waiting for the "other shoe to drop" -- "This is a FREE course" and then the scam grift begins. Its always a course with people these days. "I have to make money" he says....... You could make a Social Network and charge a $10 monthly fee to be part of a community or something with more value. Don't go into this as a scammer. Im older than you and spent many years doing Black Hat so I know exactly what Im talking about........
I don’t want your money for this course. I plan to keep going with the for a while. I may take some sponsorships but this will always be free. And I’m only mid 50s so not old at all.
Just 3 days ago I had an idea to build an AI project to help me summarize 4 books a week before school starts. 2 days ago I started researching libraries, methods to get concise data without hallucinations. I was progressing but not a single video was up to date or taught what I needed. It started stressing me out. Then I found your channel. Just when I needed it you uploaded exactly what I searched for. I don't have the words to describe what a change you were to me and only because of this video I want to keep tinkering with LLM's. You are a legend who changed a 16 year old's mind about developing with AI and just gained a new patreon and I've never paid for Patreon. I look forward to watching your other videos.
Have a nice learning path
You are a legend. Love your Ollama series. Keep up the great work!
Thanks for boiling this down to the main components and how they can come together to make a solution. Its a great foundation to start with, many of the videos I have seen have focused on all kinds of different tooling and its hard to know what aspects are essential.
Thank you for providing playlist to learn this. Very helpful how you explain things. Always looking forward to your training series. Keep up the good work Matt!
Hi Matt. I always upvote your videos. It comes in mind two possible topics for future course deepenings: 1. comparison benchmark /even if qualitative) among different size of the same model, different quantization and different context window size expaining the HW respopurces trade-offs. 2: using various RAG techniques to memorize chat conversations for a sort of "long term memory" (that's indeed a very general usage). Just ideas. Thanks for all
It's such a breeze to find your channel, a lot of influencer noise about such topics, make it challenging to find quality material.
I came in to try to answer a question, which you pointed at, at the end of the video. How do the pre-made RAG solutions compare to each other, and to the DIY one. Off course building your own, comes with the gift of knowledge of how things work, and eventually better understanding and implementing them, fixing problems when found ....etc.
My perspective if it helps: the topic has many choice points, and it can get easily overwhelming for someone of humble knowledge, and what really help is to know for someone such as yourself, why choose this over that, or what is the balance to look for? for example why choose this embedding model ?
If epub is better than PDF for the task, should we try to convert it first, to get better text content from PDFs ? Will it be helpful to rank the text extraction part before deciding to feed it to the model (what I mean is that PDFs have very much varying degrees of readability)? I'm just thinking out-loud at this point :D
Lastly, thank you and looking forward to the next video.
1- You forgot to drink... It is important to keep hydrated.🧐
2- I prefer ready solutions especially those that give complete choices and options (Hybrid RAG with graph knowledge)💥
Thanks for the good content 🌹
I have to jump into coding before build a rag, so actually i'm using open webui and i'm very satisfied of it 🎉
Brilliant. I just subscribed. Thank You for your video series.
Great video, as usual. Looking forward to the RAG tools video and maybe some integrations, please
simplicity is the elegance - a prime example :-)
You are an amazing teacher. Thank you!
Thank you!
Thank you so much❤
You're welcome 😊
great intro to rag dev vid
Thank you so much for this omg
next video of the series please
This was great, but... (There’s always a “but,” isn’t there?)
I’m building a RAG system (using ollama for embedding and querying) at the moment and the hard part isn’t the RAG. It’s getting the text in the first place from PDF, MSG (including direct attachments and nested email chains), DOC[X], HTML etc. Do you have any recommendations for tooling in this arena?
a continuation aimed at advanced users: local vs global vs native context comparison, using graphrag and triplex - when to use which one
Hi, what do you men for "local vs global vs native context comparison" ?
Nice videos, clearly explained in plain English. A couple of questions: why are you using different models to get the rag and non-rag respose?. And why using ollama to get the embeddings instead of leveraging the chroma embedding feature?. Thanks for sharing your expertise
I must have changed one and forgot the other. no reason
I am still using msty and having mixed results. The formating issue for data is my biggest problem right now.
dear Matt, could you please make practical videos, i kept watching several videos from you but never got to the point where i get things working. please mix you videos between lecturing and practical guides step by step so we all can benifit
There is a lot of that on this channel. And will be more too
When having bad results, I can"t decide if it's because of my chunking or because the data is in French.
But I can't easily find models for embedding French texts.
There are A few French Natural Language Processing (NLP) models on HuggingFace that might work for your needs.
Timestamp format is off in the description, friend ❤
Open WebUi first pls!
I was waiting for the "other shoe to drop" -- "This is a FREE course" and then the scam grift begins. Its always a course with people these days. "I have to make money" he says....... You could make a Social Network and charge a $10 monthly fee to be part of a community or something with more value. Don't go into this as a scammer. Im older than you and spent many years doing Black Hat so I know exactly what Im talking about........
I don’t want your money for this course. I plan to keep going with the for a while. I may take some sponsorships but this will always be free. And I’m only mid 50s so not old at all.
A "thank you" would be a better comment