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def analyze_sentiment(text):"""Analyze the sentiment of a given text."""inputs = tokenizer(text, return_tensors="pt")outputs = model(**inputs)scores = outputs.logits.softmax(dim=1).detach.numpy[0]labels = ["negative","neutral","positive"]label = labels[scores.argmax]returnlabel def...
def analyze_sentiment(text):"""Analyze the sentiment of a given text."""inputs = tokenizer(text, return_tensors="pt")outputs = model(**inputs)scores = outputs.logits.softmax(dim=1).detach.numpy[0]labels = ["negative","neutral","positive"]label = labels[scores.argmax]returnlabel def...
Enterprises can capitalize on multi-modal AI to build intelligent systems that analyze diverse data streams, improving natural language understanding, visual perception, and voice recognition for enhanced user experiences. For instance, Google DeepMind is in the news with Gato, a multi-modal AI system...
Like a cross between AI image generation and writing assistant software, AI tools for video have the functionality to create, analyze, and enhance your recordings. 30. Fliki viaFliki Fliki converts text into audio files and video to simplify the creative process behind videos, podcasts, or aud...
Investing in the stock market can be a complex venture, with myriad factors influencing the performance of stocks. However, with the advent of artificial intelligence, investors are now equipped with tools that can analyze vast amounts of data to generate precise stock predictions. Stocked AI is ...
Trade Ideas: Real-time AI stock scanning, automated trades, entry/exit signals & trade alerts. Manage your portfolio, mitigate risk, backtest, & analyze markets
(inputs=market_data)# Pass market_data as named inputs@router(analyze_with_crew)defdetermine_next_steps(self):# Show flow control with conditional routingifself.state.confidence>0.8:return"high_confidence"elifself.state.confidence>0.5:return"medium_confidence"return"low_confidence"@listen("high_...
hitting record highs on one hand and plummeting sharply on the other owing to concerns about an AI (artificial intelligence) stock bubble. While President Trump’s advocacy for lower interest rates and lower oil prices buoyed investor sentiments, the stock market was propelled by positive vibes abo...
AI enhances data mining in stock trading by enabling faster processing and more complex analysis, allowing traders to uncover profitable opportunities based on historical data patterns. Predictive Modeling: AI uses advanced algorithms to analyze historical data and predict future market trends. This ...