https://gov.gitcoin.co/t/an-evolutionary-lens-on-web3-open-source-software/10293
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Assorted AI resources/demo repos: | |
- https://github.com/patchy631/ai-engineering-hub/tree/main/brand-monitoring | |
AI Agents: | |
- https://github.com/virattt/ai-hedge-fund/tree/main | |
- https://github.com/HKUDS/AutoAgent/tree/main | |
- https://github.com/coleam00/Archon/tree/main | |
- https://github.com/OriNachum/autonomous-intelligence | |
- deepresearch built with openai agents sdk and firecrawl ex. https://www.theunwindai.com/p/build-a-deep-research-agent-with-openai-agents-sdk-and-firecrawl | |
- https://www.youtube.com/watch?v=U6LbW2IFUQw&sttick=0 |
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Research Prompt for Weekly Newsletter on Multimodal Models and Vision-Language Models | |
Objective: | |
Compile a detailed, structured overview of the latest developments in multimodal models and vision-language models (VLMs) from the past week. Include sections for Quick Take, Research Highlights, Tools & Techniques, Real-World Applications, Trends & Predictions, and Community Contributions. Ensure all content is fresh, excluding anything covered in prior newsletters, and tailor the output for a newsletter audience with concise, impactful summaries. | |
General Instructions: | |
Time Frame: Focus exclusively on developments from the past week, using a dynamic date range of [start date] to [end date], to be updated weekly. | |
Uniqueness: Cross-reference with previous newsletters to avoid repetition, ensuring all content is new and relevant. | |
Prioritization: Leverage OpenAI’s deep research capabilities to prioritize high-impact, technically substantive sources (e.g., detailed benchmarks, novel methodologies, or influenti |
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Google Gemini | |
- https://x.com/kaiju_ya/status/1900363384870363423 |
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from covalent import CovalentClient | |
import csv | |
from datetime import datetime, timedelta | |
# Constants | |
API_KEY = 'ckey_1bc79adaaaf24ab59fd0d566f25' # Replace this with your actual API key | |
CHAIN_ID = 'eth-mainnet' | |
CONTRACT_ADDRESS = '0xd417144312dbf50465b1c641d016962017ef6240' # Covalent Token address | |
TODAY = datetime.now() | |
TWO_MONTHS_AGO = TODAY - timedelta(days=60) |
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#!/bin/bash | |
# This script fixes helmcharts secrets that was deployed with API objects paths, that was deprecated. | |
# More info here https://github.com/helm/helm/issues/7219 | |
# Use it own risks! | |
# After executing you need to redeploy | |
NamespaceName=$1 | |
echo "${NamespaceName}" |
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apiVersion: apps/v1 | |
kind: Deployment | |
metadata: | |
name: cluster-autoscaler | |
namespace: kube-system | |
labels: | |
app: cluster-autoscaler | |
spec: | |
replicas: 1 | |
selector: |
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version: '2' | |
services: | |
elasticsearch: | |
image: docker.elastic.co/elasticsearch/elasticsearch:7.1.0 | |
environment: | |
- discovery.type=single-node | |
ports: | |
- 127.0.0.1:9200:9200 | |
kibana: | |
image: docker.elastic.co/kibana/kibana:7.1.0 |
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translateFilters(allData): void { | |
this.contentCheck = this.newFilters.some(check => check !== ''); | |
} | |
updateCurrentFilters(): void { | |
this.newFilters.filter(selectedFilter => { | |
return this.currentFilters.some(currentCheck => currentCheck === selectedFilter); | |
}); | |
} |