Update README.md
Browse files
README.md
CHANGED
|
@@ -52,23 +52,28 @@ ner_pipeline = pipeline("ner", model=model, tokenizer=tokenizer, device=device,
|
|
| 52 |
|
| 53 |
# Example job description text
|
| 54 |
text = """
|
| 55 |
-
Details
|
| 56 |
Responsibilities of the Intern:
|
| 57 |
|
| 58 |
-
|
| 59 |
-
|
| 60 |
-
|
| 61 |
-
|
| 62 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 63 |
Requirements:
|
| 64 |
|
| 65 |
-
Strong
|
| 66 |
-
|
| 67 |
-
|
| 68 |
-
|
| 69 |
-
|
| 70 |
-
|
| 71 |
-
|
|
|
|
| 72 |
"""
|
| 73 |
|
| 74 |
# Run inference
|
|
@@ -84,14 +89,25 @@ for ent in entities:
|
|
| 84 |
```
|
| 85 |
Device set to use cpu
|
| 86 |
Asking to truncate to max_length but no maximum length is provided and the model has no predefined maximum length. Default to no truncation.
|
| 87 |
-
SKILL |
|
| 88 |
-
SKILL |
|
| 89 |
-
SKILL |
|
| 90 |
-
SKILL |
|
| 91 |
-
|
| 92 |
-
|
| 93 |
-
SKILL |
|
| 94 |
-
SKILL |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 95 |
```
|
| 96 |
|
| 97 |
---
|
|
|
|
| 52 |
|
| 53 |
# Example job description text
|
| 54 |
text = """
|
|
|
|
| 55 |
Responsibilities of the Intern:
|
| 56 |
|
| 57 |
+
Design, develop, and implement AI agents for various applications.
|
| 58 |
+
Train and fine-tune machine learning models using structured and unstructured datasets.
|
| 59 |
+
Work with deep learning frameworks such as TensorFlow, PyTorch, and scikit-learn.
|
| 60 |
+
Implement reinforcement learning techniques to enhance AI agent performance.
|
| 61 |
+
Perform data preprocessing, augmentation, and feature engineering.
|
| 62 |
+
Optimize model performance through hyperparameter tuning and algorithm optimization.
|
| 63 |
+
Integrate AI solutions into real-world applications and assist in deployment.
|
| 64 |
+
Collaborate with data scientists, software engineers, and business teams to understand requirements and deliver AI-driven solutions.
|
| 65 |
+
Conduct research and stay updated with the latest trends and advancements in AI and ML.
|
| 66 |
+
Document research findings, methodologies, and results effectively.
|
| 67 |
Requirements:
|
| 68 |
|
| 69 |
+
Strong programming skills in Python (knowledge of C++/Java is a plus).
|
| 70 |
+
Experience with machine learning frameworks like TensorFlow, PyTorch, or Keras.
|
| 71 |
+
Understanding of deep learning, natural language processing (NLP), and computer vision techniques.
|
| 72 |
+
Familiarity with reinforcement learning concepts and their applications.
|
| 73 |
+
Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
|
| 74 |
+
Experience working with large datasets and cloud computing platforms (AWS, Google Cloud, or Azure) is a plus.
|
| 75 |
+
Strong problem-solving skills and the ability to work in a collaborative team environment.
|
| 76 |
+
Excellent communication and documentation skills.
|
| 77 |
"""
|
| 78 |
|
| 79 |
# Run inference
|
|
|
|
| 89 |
```
|
| 90 |
Device set to use cpu
|
| 91 |
Asking to truncate to max_length but no maximum length is provided and the model has no predefined maximum length. Default to no truncation.
|
| 92 |
+
SKILL | machine learning | score=1.000
|
| 93 |
+
SKILL | learning | score=1.000
|
| 94 |
+
SKILL | learn | score=0.758
|
| 95 |
+
SKILL | learning techniques | score=0.769
|
| 96 |
+
DISCIPLINE | engineering | score=1.000
|
| 97 |
+
COURSE | data scientists | score=0.954
|
| 98 |
+
SKILL | research | score=1.000
|
| 99 |
+
SKILL | ML | score=0.997
|
| 100 |
+
SKILL | research findings | score=1.000
|
| 101 |
+
SKILL | results | score=0.960
|
| 102 |
+
SKILL | programming | score=1.000
|
| 103 |
+
SKILL | Python | score=0.599
|
| 104 |
+
SKILL | machine learning | score=1.000
|
| 105 |
+
SKILL | learning | score=1.000
|
| 106 |
+
SKILL | learning | score=1.000
|
| 107 |
+
DISCIPLINE | engineering | score=1.000
|
| 108 |
+
SKILL | collaborative | score=0.900
|
| 109 |
+
SKILL | communication | score=1.000
|
| 110 |
+
SKILL | documentation skills | score=0.983
|
| 111 |
```
|
| 112 |
|
| 113 |
---
|