docs: improve /implement tool documentation and update news section

README.md

@@ -41,6 +41,17 @@ Qode Merge PR-Agent aims to help efficiently review and handle pull requests, by
 
 ## News and Updates
 
+### Jan 2, 2025
+
+New tool: [/Implement 💎](https://qodo-merge-docs.qodo.ai/tools/implement/), which converts human code review discussions and feedback into ready-to-commit code changes.
+
+<kbd><img src="https://codium.ai/images/pr_agent/implement1.png" width="512"></kbd>
+
+
+### Jan 1, 2025
+
+Update logic and [documentation](https://qodo-merge-docs.qodo.ai/usage-guide/changing_a_model/#ollama) for running local models via Ollama.
+
 ### December 30, 2024
 
 Following [feedback](https://research.kudelskisecurity.com/2024/08/29/careful-where-you-code-multiple-vulnerabilities-in-ai-powered-pr-agent/) from the community, we have addressed two vulnerabilities identified in the open-source PR-Agent project. The fixes are now included in the newly released version (v0.26), available as of today.
@@ -79,12 +90,6 @@ Focused mode
 <kbd><img src="https://qodo.ai/images/pr_agent/code_suggestions_focused_mode.png" width="512"></kbd>
 
 
-### November 4, 2024
-
-Qodo Merge PR Agent will now leverage context from Jira or GitHub tickets to enhance the PR Feedback. Read more about this feature
-[here](https://qodo-merge-docs.qodo.ai/core-abilities/fetching_ticket_context/)
-
-
 ## Overview
 <div style="text-align:left;">
 
@@ -158,7 +163,7 @@ ___
 \
 ‣ **Similar Code 💎 ([`/find_similar_component`](https://pr-agent-docs.codium.ai/tools/similar_code/))**: Retrieves the most similar code components from inside the organization's codebase, or from open-source code.
 \
-‣ **Implement 💎 ([`/implement`](https://pr-agent-docs.codium.ai/tools/implement/))**: Generates implementation code from review suggestions.
+‣ **Implement 💎 ([`/implement`](https://qodo-merge-docs.qodo.ai/tools/implement/))**: Generates implementation code from review suggestions.
 ___
 
 ## Example results

docs/docs/tools/implement.md

@@ -1,12 +1,12 @@
 ## Overview
 
-The `implement` tool automatically generates implementation code based on PR review suggestions.
-It combines LLM capabilities with PR review suggestions to help developers implement code changes quickly and with confidence.
+The `implement` tool converts human code review discussions and feedback into ready-to-commit code changes.
+It leverages LLM technology to transform PR comments and review suggestions into concrete implementation code, helping developers quickly turn feedback into working solutions.
 
 ## Usage Scenarios
 
 
-### 1. For Reviewers
+### For Reviewers
 
 Reviewers can request code changes by: <br>
 1. Selecting the code block to be modified. <br>
@@ -15,10 +15,10 @@ Reviewers can request code changes by: <br>
 /implement <code-change-description>
 ```
 
-![implement1](https://codium.ai/images/pr_agent/implement1.png){width=512}
+![implement1](https://codium.ai/images/pr_agent/implement1.png){width=640}
 
 
-### 2. For PR Authors
+### For PR Authors
 
 PR authors can implement suggested changes by replying to a review comment using either: <br>
 1. Add specific implementation details as described above
@@ -30,16 +30,16 @@ PR authors can implement suggested changes by replying to a review comment using
 /implement
 ```
 
-![implement2](https://codium.ai/images/pr_agent/implement2.png){width=512}
+![implement2](https://codium.ai/images/pr_agent/implement2.png){width=640}
 
-### 3. For Referencing Comments
+### For Referencing Comments
 
 You can reference and implement changes from any comment by:
 ```
 /implement <link-to-review-comment>
 ```
 
-![implement3](https://codium.ai/images/pr_agent/implement3.png){width=512}
+![implement3](https://codium.ai/images/pr_agent/implement3.png){width=640}
 
 Note that the implementation will occur within the review discussion thread.
 

docs/docs/usage-guide/changing_a_model.md

@@ -40,19 +40,22 @@ E.g. to use a new model locally via Ollama, set in `.secrets.toml` or in a confi
 model = "ollama/qwen2.5-coder:32b"
 fallback_models=["ollama/qwen2.5-coder:32b"]
 custom_model_max_tokens=128000 # set the maximal input tokens for the model
-duplicate_examples=true # will duplicate the examples in the prompt, to help the model to output structured output
+duplicate_examples=true # will duplicate the examples in the prompt, to help the model to generate structured output
 
 [ollama]
 api_base = "http://localhost:11434" # or whatever port you're running Ollama on
 ```
 
 !!! note "Local models vs commercial models"
     Qodo Merge is compatible with almost any AI model, but analyzing complex code repositories and pull requests requires a model specifically optimized for code analysis.
+
     Commercial models such as GPT-4, Claude Sonnet, and Gemini have demonstrated robust capabilities in generating structured output for code analysis tasks with large input. In contrast, most open-source models currently available (as of January 2025) face challenges with these complex tasks.
+
     Based on our testing, local open-source models are suitable for experimentation and learning purposes, but they are not suitable for production-level code analysis tasks.
+
     Hence, for production workflows and real-world usage, we recommend using commercial models.
 
-### Hugging Face Inference Endpoints
+### Hugging Face
 
 To use a new model with Hugging Face Inference Endpoints, for example, set:
 ```