Видео

Love this, clarifai had the original innovation of deep learning from 2012 :)

not sure if the video is about info/tutorial on dspy or dspy-clafifai integration? if its the latter then can they rename the title to save people's times and avoid misinterpretation?

Can a RAG created in a low-code service be used in conjunction with DSPy?

Ok where is the documentation?

How about performance of RAG that build from this method

That's great!

Is clarifai is free to use?

Hey Andrew, thanks for the clear and concise demo. I did this yesterday, and within under an hour I was able to finish this project 😎 Clarifai is a remarkable tool!!

I get this: "I'm sorry, but it seems that the context information you mentioned is missing" even though I am using: rag_agent.upload(file_path=r'bavykina-et-al-2019-turning-a-methanation-co-catalyst-into-an-in-co-methanol-producer.pdf',chunk_size= 1024, chunk_overlap= 200)

i think this site is not workin anymore

Good looking product. Please use a different voice for presentation as its way to heavy on vocal fry.

This is an absolutely incredible video. I'm currently doing an internship as an Electrical Engineering undergraduate at my university regarding using lasers to cause misclassification in image recognition Neural Networks. This video alongside your other content has been incredibly useful and mind opening for me! I hope you read this comment, and if you want to respond I'd love to ask questions.

Upload this tutorial video

Getting an error llama index, installed pip install llama-index-core==0.10.1. Now getting Import error:ImportError: cannot import name 'get_default_fs' from 'llama_index.core.readers.file.base' (/usr/local/lib/python3.10/dist-packages/llama_index/core/readers/file/base.py) ImportError: Unable to import PDFReader How to resolve this issue?

very cool partnership !

I've probably seen 1001 AI videos by now, but your videos are definitely among the very best. My master's thesis thanks you.🙂 Just one small thing, please don't be so fast, I'm already playing your videos at 60%. 😂 Don't you have to breathe? Like every 10 minutes or so? 😄 I'm just kidding, please have mercy for idiots like me. 🤗

Tried uploading my training data in json but it is not supported.

Here is the code import streamlit as st from PIL import Image import pandas as pd import base64 from clarifai_grpc.channel.clarifai_channel import ClarifaiChannel from clarifai_grpc.grpc.api import service_pb2_grpc stub = service_pb2_grpc.V2Stub(ClarifaiChannel.get_grpc_channel()) st.title("Classifier Demo") st.header("Step 1: Enter an API key") key = st.text_input("API Key") if key == '': st.warning("An API Key has not been entered.") st.stop() else: st.write("API Key has been uploaded.") file_data = st.file_uploader("Upload Image") if file_data == None: st.warning("File needs to be uploaded.") st.stop() else: image = Image.open(file_data) st.image(image) from clarifai_grpc.grpc.api import service_pb2, resources_pb2 from clarifai_grpc.grpc.api.status import status_code_pb2 # Create an application on Clarifai and put its ID here. YOUR_APPLICATION_ID = "???" # This is how you authenticate. metadata = (("authorization", f"Key {key}"),) request = service_pb2.PostModelOutputsRequest( # This is the model ID of a publicly available General model. You may use any other public or custom model ID. model_id="aaa03c23b3724a16a56b629203edc62c", user_app_id=resources_pb2.UserAppIDSet(app_id=YOUR_APPLICATION_ID), inputs=[ resources_pb2.Input( data=resources_pb2.Data(image=resources_pb2.Image(base64=file_data.getvalue())) ) ], ) response = stub.PostModelOutputs(request, metadata=metadata) if response.status.code != status_code_pb2.SUCCESS: print(response) raise Exception(f"Request failed, status code: {response.status}") names = [] confidences = [] for concept in response.outputs[0].data.concepts: names.append(concept.name) confidences.append(concept.value) # st.write( "%12s: %.2f" % (concept.name, concept.value)) df = pd.DataFrame({ "Concept Name" : names, "Concept Confidences" : confidences }) st.dataframe(df)

That really clarifai’d things 🥁

Please continue this with a 3rd part...I love your presentation and it's easy to understand

@Clarifai where is the next session?

very nice

hi I am not abe to add PAT

Hi, can you do that to moving images/video ?

Very impressive demonstration.

is this model support Arabic?

hi how are bro can you give me your codes

Does Clarifai allow me to deploy it?

This is such an interesting platform, I will start creating apps with it! Thanks 😁💯👏

That's cool, but how to upload model

would I need to upload all files for this to work? I have terabytes of video files

part3 update plsi need it

Some of your sheep are goats ;-)

how can i implement it into a python script to analyze images

Hi, i want to build a device that uses image recognition API to help the blind for my school project and idk how to start can you help me ?

How to integrate it.what is the yearly subscription for buy

It looks amazing. Get to the top quicker - Promo`SM !!

Thank you. For a newbie in the EOIR industry, this video is helpful. Please make more.

Are pills good?

PЯӨMӨƧM 🌺

Very interesting webinar

What are maths require for computer vision research scientist?

Documentation please

The equations def made me tear up laughing out loud! 🤣🤩 thanks for the heads up. Lol

One of the key challenges for insurance companies is to maintain a balance between costs attached to claims assessment and processing efficiency which directly impacts client satisfaction levels. To contextualize, organize, and draw true meaning from data, insurers are turning to artificial intelligence (AI) to augment the capabilities of their business experts.

What is the difference between building a workflow for data labeling and using an AI assistant?

Finally, Someone who listens

i cant seem to access the module option in my page how can i fix that

If there is model already can detect the objects I need why to start from scratch and label my data